Longchun Wang

511 citations
35 papers · 347 · h-index 11

Impact in

Papers in

Longchun Wang

29 papers receiving 334 citations

Peers

Longchun Wang
Comparison fields: 5 of 57
  • Cellular and Molecular Neuroscience 217
  • Cognitive Neuroscience 129
  • Polymers and Plastics 71
  • Biomedical Engineering 147
  • Bioengineering 12
Replace Zhejun Guo with:
Zhejun Guo China
László Grand Hungary
Fabien Sauter-Starace France
Lilach Bareket Israel
Mohammed Hayat United States
Nicolas Alba United States
Rongkang Yin United States
Subramaniam Venkatraman United States
Aziliz Lecomte Italy
Helen N. Schwerdt United States
Longchun Wang relative to Zhejun Guo China Zhejun Guo's profile →
Citations per field
00.5×1.5×
Zhejun Guo · 1×
Citations per year

Countries citing papers authored by Longchun Wang

Since Specialization
Citations

This map shows the geographic impact of Longchun Wang'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 Longchun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longchun Wang more than expected).

Fields of papers citing papers by Longchun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Longchun Wang. 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 Longchun Wang. The network helps show where Longchun Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Longchun Wang, 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 Longchun Wang Line = papers co-authored together Longchun Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201945
2 201945
3 201936
4 202136
5 202230
6 201916
7 202115
8 201914
9 202313
10 202412
11 202412
12 202410
13 20238
14 20208
15 20238
16 20227
17 20247
18 20233
19 20243
20 20233

About Longchun Wang

Longchun Wang is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 35 papers that have together received 347 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (30 papers), Photoreceptor and optogenetics research (14 papers), EEG and Brain-Computer Interfaces (11 papers), Advanced Memory and Neural Computing (8 papers), Advanced Sensor and Energy Harvesting Materials (7 papers), Neural dynamics and brain function (5 papers), Muscle activation and electromyography studies (3 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (217 citations), Cognitive Neuroscience (129 citations), Polymers and Plastics (71 citations), Biomedical Engineering (147 citations) and Bioengineering (12 citations). Longchun Wang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Jingquan Liu, Zhejun Guo, Bin Yang, Xiaolin Wang, Bowen Ji, Chunpeng Jiang, Wen Hong, Minghao Wang, Chengyu Li and Zhaoqian Xie. Their work appears in journals such as Biosensors and Bioelectronics, IEEE Electron Device Letters, Sensors and Actuators A Physical, Advanced Functional Materials and ACS Nano.

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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