Wei Bai

508 citations
54 papers · 325 · h-index 12

Impact in

Papers in

Wei Bai

45 papers receiving 318 citations

Peers

Wei Bai
Comparison fields: 5 of 64
  • Signal Processing 39
  • Computer Networks and Communications 67
  • Artificial Intelligence 78
  • Electrical and Electronic Engineering 131
  • Management Science and Operations Research 26
Replace Guoxiang Tong with:
Guoxiang Tong China
Mahmoud Elsharief Egypt
Linqing Wang China
Jinhong Wu China
Hyunil Kim South Korea
Fengchun Liu China
Abhay Chaturvedi India
Ramya Kuppusamy India
Wei Bai relative to Guoxiang Tong China Guoxiang Tong's profile →
Citations per field
00.5×1.5×2.2×
Guoxiang Tong · 1×
Citations per year

Countries citing papers authored by Wei Bai

Since Specialization
Citations

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

Fields of papers citing papers by Wei Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202331
2 201926
3 201822
4 202019
5 202314
6 202314
7 201913
8 201913
9 201913
10 202213
11 201911
12 202211
13 20229
14 20238
15 20128
16 20237
17 20237
18 20187
19 20197
20 20227

About Wei Bai

Wei Bai is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Mechanical Engineering and Materials Chemistry, having authored 54 papers that have together received 325 indexed citations. Recurring topics across this work include Advanced Battery Materials and Technologies (11 papers), Advancements in Battery Materials (11 papers), Network Security and Intrusion Detection (9 papers), Advanced Malware Detection Techniques (4 papers), Anomaly Detection Techniques and Applications (4 papers), Access Control and Trust (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Advanced Battery Technologies Research (2 papers). The work is most often cited by research in Signal Processing (39 citations), Computer Networks and Communications (67 citations), Artificial Intelligence (78 citations), Electrical and Electronic Engineering (131 citations) and Management Science and Operations Research (26 citations). Wei Bai has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Zhisong Pan, Xiaojing Li, Haifei Liu, Ximing Wang, Shize Guo, Junming Guo, Mingwu Xiang, Zirui Zhao, Jinkui Li and Minhao Zhu. Their work appears in journals such as Dalton Transactions, IEEE Access, Journal of Energy Storage, Tribology International and Applied Surface Science.

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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