Jinhe Chen

418 citations
18 papers · 322 · h-index 8

Impact in

Papers in

Jinhe Chen

17 papers receiving 314 citations

Peers

Jinhe Chen
Comparison fields: 5 of 99
  • Computer Networks and Communications 94
  • Neurology 27
  • Radiological and Ultrasound Technology 15
  • Statistics, Probability and Uncertainty 19
  • Biochemistry 15
Replace Héctor‐Gabriel Acosta‐Mesa with:
Héctor‐Gabriel Acosta‐Mesa Mexico
Chunhua China
Yuanyuan Pan China
Chih-Ying Lin Taiwan
Piotr S. Szczepaniak Poland
Young Do Koo South Korea
Yanzhen Zhou China
Samreen Naeem Pakistan
Bei Pei China
Jinhe Chen relative to Héctor‐Gabriel Acosta‐Mesa Mexico Héctor‐Gabriel Acosta‐Mesa's profile →
Citations per field
00.5×7.5×
Héctor‐Gabriel Acosta‐Mesa · 1×
Citations per year

Countries citing papers authored by Jinhe Chen

Since Specialization
Citations

This map shows the geographic impact of Jinhe Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jinhe Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinhe Chen more than expected).

Fields of papers citing papers by Jinhe Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jinhe Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jinhe Chen. The network helps show where Jinhe Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Jinhe Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jinhe Chen Line = papers co-authored together Jinhe Chen links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 200365
2 200657
3 202048
4 201934
5 201933
6 202031
7 201621
8 200613
9 20035
10 20154
11
[Effect of mastoparan-1 on lipopolysaccharide-induced acute hepatic injury in mice].
20093
12
[The application of tourniquet in burn patients during tangential excision on the extremities].
20022
13 20182
14 20241
15
Consensus on use of albumin in burn patients
20121
16 20231
17 20141
18 20250

About Jinhe Chen

Jinhe Chen is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Pathology and Forensic Medicine, Control and Systems Engineering and Epidemiology, having authored 18 papers that have together received 322 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (3 papers), Distributed Control Multi-Agent Systems (3 papers), Neurological Disease Mechanisms and Treatments (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Burn Injury Management and Outcomes (2 papers), Evaluation and Optimization Models (2 papers), Tea Polyphenols and Effects (2 papers) and Risk and Safety Analysis (1 paper). The work is most often cited by research in Computer Networks and Communications (94 citations), Neurology (27 citations), Radiological and Ultrasound Technology (15 citations), Statistics, Probability and Uncertainty (19 citations) and Biochemistry (15 citations). Jinhe Chen has collaborated with scholars based in China, Taiwan and Australia. Frequent co-authors include Housheng Su, Lihua Wang, Hua Li, Hong Wang, Hua‐Shan Zhang, Yun Fan, Bing Wang, Yang Tang, Shuai Mao and Yu-Cheng Yang. Their work appears in journals such as IEEE Transactions on Circuits & Systems II Express Briefs, Journal of Coastal Research, Computers & Chemical Engineering, Journal of Chromatography B and International Journal of Mineral Processing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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