Gang Ren

611 total citations
28 papers, 430 citations indexed

About

Gang Ren is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Gang Ren has authored 28 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 6 papers in Computer Networks and Communications and 4 papers in Molecular Biology. Recurrent topics in Gang Ren's work include Traffic and Road Safety (3 papers), Advanced Authentication Protocols Security (2 papers) and Human-Automation Interaction and Safety (2 papers). Gang Ren is often cited by papers focused on Traffic and Road Safety (3 papers), Advanced Authentication Protocols Security (2 papers) and Human-Automation Interaction and Safety (2 papers). Gang Ren collaborates with scholars based in China, United States and South Korea. Gang Ren's co-authors include Eric Tune, Silvius Rus, Tipp Moseley, Robert Hundt, Yang Zhang, Xianfang Wang, Haojie Li, Jian Wang, Min Yang and Wei Wang and has published in prestigious journals such as Scientific Reports, The Journal of the Acoustical Society of America and IEEE Access.

In The Last Decade

Gang Ren

26 papers receiving 422 citations

Peers

Gang Ren
Comparison fields: 5 of 89
  • Computer Networks and Communications 145
  • Information Systems 136
  • Hardware and Architecture 62
  • Ecological Modeling 58
  • Artificial Intelligence 43
Replace Marco Álvarez with:
Marco Álvarez United States
Jan Kuper Netherlands
Klaus Meyer-Wegener Germany
Johann van der Merwe Australia
Suzanne J. Matthews United States
Beatriz Prieto Spain
Han Xu China
Hyo-Sik Yang South Korea
Tom Arbuckle Ireland
Eduard Santamaría Spain
Marco Álvarez United States View profile →
Citations per field, relative to Gang Ren
Gang Ren · 1×
Citations per year, relative to Gang Ren
Gang Ren · 1×

Countries citing papers authored by Gang Ren

Since Specialization
Citations

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

Fields of papers citing papers by Gang Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Ren. A scholar is included among the top collaborators of Gang Ren based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gang Ren. Gang Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 8
5 1
6 1
7 30
8 1
9 28
10 2
11 1
12 10
13 89
14 5
15 14
16 3
17 8
18 12
19 15
20 134

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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