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Conductive Fiber Modeling Patent Snapshot 2026

Conductive Fiber Modeling Patent Snapshot 2026
Evidence Snapshot
Conductive Fiber Modeling Patent Snapshot in 2026

Conductive fiber modeling is a nascent, highly concentrated field dominated by Chinese academic institutions, with Zhejiang University and one industry entrant each holding the largest share of patent records. The field is still expanding on a multi-year basis following a 200% recent-window growth rate, though annual volume has eased from its 2023 peak and the most recent periods are further understated by publication lag.

6
Patent families in scope
N/A
Concentration not assessed
N/A
Growth trend not assessed
China
Leading jurisdiction
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Published byPatsnap Insights Team··6 min readVerified by Patsnap Eureka data
Overview

Chinese universities lead a tightly held, early-stage field

Zhejiang University sits at the top of the applicant ranking, tied with Zhongke Junsheng (Shenzhen) Intelligent Data Technology Development Co., Ltd., each holding 2 patent records. The remaining applicants — including Shanghai Jiao Tong University, Fudan University, Hangzhou Dianzi University, and the sole non-Chinese entrant, Celanese Corp — each hold 1 patent record.

The top five filers account for 54% of the combined total among the ranked applicants visible in this query, indicating meaningful concentration at the top despite the field’s small absolute size. There is effectively no second tier: virtually all participants are at the single-record level, so the gap between the leader and the rest is defined by just one additional record.

Leading applicants
#ApplicantPatent recordsShare
1Zhejiang University2
2Zhongke Junsheng (Shenzhen) Intelligent Data Technology Development Co., Ltd.2
3Shanghai Integrated Circuit Manufacturing Innovation Center Co., Ltd.1
4Shanghai Jiao Tong University1
5Information Science Research Institute of CETC1
6Fudan University1
#ApplicantPatent recordsShare
7Integral Technology Inc.1
8CHINA SHIP DEV & DESIGN CENT1
9Hangzhou Dianzi University1
10Shanghai Xinyuan Innovation Center1
11Celanese Corporation1
↗ Hover a row · click a company to ask Eureka

The dominance of university and state-linked research organizations suggests that conductive fiber modeling remains primarily a research-driven domain. Commercial entrants such as Celanese Corp and Integral Technology Inc are present but have not yet established a volume position, leaving the assignee snapshot open to industrial players willing to convert research insights into filed IP.

Patent records filed in the most recent 18–24 months are systematically under-represented due to publication lag; apparent gaps in 2024 and 2026 should not be read as reduced activity. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.

Source: Patsnap Eureka. Chart shows the top applicants ranked by patent records; the corpus total is measured in patent families. These figures use different units and should not be compared directly. This same dataset is now available on Patsnap Open Platform via MCP.Connect via MCP →
Trends & Structure

Filing activity is expanding on a multi-year basis; digital modeling codes dominate the technology mix

The two charts below capture the pace of activity over time and the distribution of technical focus areas. Together they show a field that picked up momentum from 2021 onward and is anchored in computational simulation rather than physical fabrication.

Annual filing trend

Filings were negligible through 2020, then stepped up from 2021 onward, reaching a visible peak in 2023. The field is still expanding on a multi-year basis — recent-window growth is 200% above the prior window — though annual volume has eased from the 2023 peak. The zero counts for 2024 and 2026 reflect publication lag and should not be read as an activity drop.

Annual filing trendAnnual values from 2017 to 2026, peaking at 2 in 2023.02017020180201902020120211202222023020242202502026↗ Hover for values · click a bar to ask Eureka

Technology composition

Electric digital data processing (G06F) is the visible branch, reflecting the computational simulation focus of most filings. Computational chemistry (G16C) and cables, conductors and insulators (H01B) each appear as secondary clusters. Textile-process branches — man-made filament spinning (D01D), chemical filament and fibre features (D01F), and yarn texturing and crimping (D02G) — are each represented by a single patent record, signaling that physical fiber fabrication modeling remains notably sparse relative to the digital-simulation core.

Technology compositionG06F · Electric digital data processing leads with 8; G16C · Computational chemistry 3.G06F · Electric digital …8G16C · Computational che…3H01B · Cables, conductor…3D01D · Man-made filament…1D01F · Chemical filament…1D02G · Yarn texturing & …1H01H · Switches & relays1H01L · Semiconductor dev…1↗ Hover for values · click a bar to ask Eureka
Source: Patsnap Eureka. Technology-branch counts are measured in patent records; a single patent family can carry several IPC classes, so class totals can exceed the family total in scope.Explore deeper in Eureka →
Key Patents

Highly cited patent families surfaced by the query

Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.

Featured patent
US4185137APublished 1980-01-22

Conductive sheath/core heterofilament

Celanese Corporation A De CORP

Conductive thermoplastic sheath/core filaments having a reflectivity greater than 8 percent in the undelustered filament and fiber blends containing at least some of said conductive filaments. The sheath/core filament employs as a core a thermoplastic polymer having dispersed therein a material selected from the group consisting of zinc oxide, cuprous… (excerpt from the patent abstract)

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Highly cited patent families surfaced by this query
#PatentCitations
1Conductive sheath/core heterofilament19
2以石墨烯为电极的阻变存储器紧凑模型的构建及仿真方法5
3选通器开关的仿真方法及系统2
4经时击穿SPICE电路模型及其构建、验证方法及应用1
5导电细丝及其制作工艺、电容毛笔及其制作工艺1

Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.

Source: Patsnap Eureka. Citation-ranked patent families surfaced by this query.Open in Eureka →
Visible assignees

Assignee snapshot from the current evidence set

The applicants below are visible in this query result. Because the evidence set is relatively small, read this section as a directional snapshot rather than a full competitive ranking.

Leader · Zhejiang University

Zhejiang University

Zhejiang University holds 2 patent records — the highest count in the ranking — with a technology emphasis spanning electric digital data processing (G06F 30) and computational chemistry (G16C 60), indicating a simulation-first modeling approach. Momentum is flagged as a new entrant, meaning the position was built entirely within the recent filing window. Their co-filing relationship with China Ship Development and Design Center suggests applied defense-sector modeling as a near-term use case.

patent records: 2
Challenger · Zhongke Junsheng (Shenzhen) Intelligent Data Technology

Zhongke Junsheng (Shenzhen)

Zhongke Junsheng (Shenzhen) Intelligent Data Technology Development Co., Ltd. also holds 2 patent records, matching the leader by count. Their technology focus, as reflected in the corpus, sits within the digital data processing and conductors branches, representing an industry-rooted position distinct from the predominantly academic field. Like Zhejiang University, they are a new entrant in the momentum data, indicating rapid recent entry rather than a legacy portfolio.

patent records: 2
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More assignee evidence is available in Eureka
Use Eureka to validate whether these visible assignees remain central after refining the query scope and adding related patent classes.
Fudan UniversityCelanese Corp+ more
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Source: Patsnap Eureka. Assignee evidence is drawn from the current PatSnap Eureka query. In small evidence sets, applicant counts should be treated as directional signals, not a complete competitive ranking.Explore players →
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Frequently asked questions

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Built on Patsnap Open Platform

This report’s underlying patent dataset — filings, assignees, technology clusters — is open for developers via MCP and REST API. Free to start, 10,000 credits, no credit card required.

Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.

Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

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