Renwan Bi

443 citations
14 papers · 312 · h-index 8

Impact in

Papers in

Renwan Bi

13 papers receiving 305 citations

Peers

Renwan Bi
Comparison fields: 5 of 47
  • Artificial Intelligence 190
  • Computer Science Applications 31
  • Information Systems 69
  • Computer Networks and Communications 67
  • Computer Vision and Pattern Recognition 59
Replace Jinghua Zhu with:
Jinghua Zhu China
Wei Tong China
Jiandian Zeng China
Nojood O. Aljehane Saudi Arabia
Haonan Yan China
Urmish Thakker United States
Hongbin Zhu China
Rehma Razzak United States
Jiasi Weng China
Tejas Kulkarni United States
Renwan Bi relative to Jinghua Zhu China Jinghua Zhu's profile →
Citations per field
00.5×1.5×2.2×
Jinghua Zhu · 1×
Citations per year

Countries citing papers authored by Renwan Bi

Since Specialization
Citations

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

Fields of papers citing papers by Renwan Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Renwan Bi, 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 Renwan Bi Line = papers co-authored together Renwan Bi links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 202099
2 202358
3 202154
4 202227
5 202225
6 202017
7 20229
8 20248
9 20247
10 20233
11 20223
12 20241
13 20241
14 20240

About Renwan Bi

Renwan Bi is a scholar working on Artificial Intelligence, Sociology and Political Science, Computer Vision and Pattern Recognition, Computer Science Applications and Information Systems, having authored 14 papers that have together received 312 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (12 papers), Privacy, Security, and Data Protection (6 papers), Cryptography and Data Security (5 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Advanced Neural Network Applications (3 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Blockchain Technology Applications and Security (2 papers). The work is most often cited by research in Artificial Intelligence (190 citations), Computer Science Applications (31 citations), Information Systems (69 citations), Computer Networks and Communications (67 citations) and Computer Vision and Pattern Recognition (59 citations). Renwan Bi has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Jinbo Xiong, Youliang Tian, Qing Yang, Jingda Guo, Ximeng Liu, Dapeng Wu, Qi Li, Md Zakirul Alam Bhuiyan, Kim‐Kwang Raymond Choo and Lei Chen. Their work appears in journals such as IEEE Internet of Things Journal, Digital Communications and Networks, Journal of Information Security and Applications, IEEE Network and IEEE Transactions on Intelligent Transportation Systems.

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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