Geng Chen

533 citations
14 papers · 311 · h-index 8

Impact in

Papers in

Geng Chen

12 papers receiving 290 citations

Peers

Geng Chen
Comparison fields: 5 of 60
  • Computer Networks and Communications 170
  • Computational Theory and Mathematics 76
  • Environmental Engineering 20
  • Electrical and Electronic Engineering 65
  • Information Systems 22
Replace Joe Ryan with:
Joe Ryan Australia
Shankar Balachandran India
Stéphane Rubini France
Peide Qian China
Hongyu Kang China
Charles Siegel United States
Guangchao Wang China
Sandeep Mishra India
Geng Chen relative to Joe Ryan Australia Joe Ryan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Geng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Geng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2003174
2 202231
3 202425
4 202124
5 202323
6 200515
7 20247
8 20117
9
Doppler compensation on underwater acoustic wideband signals
20092
10 20251
11 20241
12 20251
13 20250
14 20250

About Geng Chen

Geng Chen is a scholar working on Computational Theory and Mathematics, Molecular Biology, Materials Chemistry, Artificial Intelligence and Environmental Engineering, having authored 14 papers that have together received 311 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Machine Learning in Materials Science (3 papers), Bioinformatics and Genomic Networks (2 papers), Protein Structure and Dynamics (2 papers), Microbial Fuel Cells and Bioremediation (2 papers), Electrochemical sensors and biosensors (2 papers), Bluetooth and Wireless Communication Technologies (1 paper) and Functional Brain Connectivity Studies (1 paper). The work is most often cited by research in Computer Networks and Communications (170 citations), Computational Theory and Mathematics (76 citations), Environmental Engineering (20 citations), Electrical and Electronic Engineering (65 citations) and Information Systems (22 citations). Geng Chen has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Ivan Stojmenović, Fabián García Nocetti, Mingyue Zheng, Xutong Li, Hualiang Jiang, Dingyan Wang, Jie Yu, Junzhou Huang, Zheng Chen and Yong Xiao. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, Nature Computational Science, International Journal of Imaging Systems and Technology and Biosensors and Bioelectronics.

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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