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Zhijun Fang

3 papers hereh-index 699 citations32 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.IR1
  • eess.SP1
  • eess.SY1
same name
  • Zhijun Fang — 4 papers, h 4
  • Zhijun Fang — 2 papers, h 3
  • Zhijun Fang — 1 paper, h 3
  • Zhijun Fang — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

works on
channel modeling 1fast fading 1magnetic induction communication 1network architecture 1relay techniques 1underground networking 1

From the 1 of 3 linked papers with an AI index.

most citedThrough-the-Earth Magnetic Induction Communication and Networking: A Comprehensive Survey

2 citations · 2 across the 1 of their papers we have counts for

collaborators

3 papers

eess.SY2026★ 2 cited

Through-the-Earth Magnetic Induction Communication and Networking: A Comprehensive Survey

Honglei Ma, Erwu Liu, Wei Ni +5

The paper surveys magnetic induction communication for through‑the‑earth applications, covering channel models, fast fading, relay designs, and network protocols for integration in…

cs.IR2024

Liver Cancer Knowledge Graph Construction based on dynamic entity replacement and masking strategies RoBERTa-BiLSTM-CRF model

YiChi Zhang, HaiLing Wang, YongBin Gao +3

Background: Liver cancer ranks as the fifth most common malignant tumor and the second most fatal in our country. Early diagnosis is crucial, necessitating that physicians identify…

eess.SP2024

Fast-Fading Channel and Power Optimization of the Magnetic Inductive Cellular Network

Honglei Ma, Erwu Liu, Zhijun Fang +4

The cellular network of magnetic Induction (MI) communication holds promise in long-distance underground environments. In the traditional MI communication, there is no fast-fading…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.