Bo Mi

782 citations
58 papers · 571 · h-index 13

Impact in

Papers in

Bo Mi

48 papers receiving 543 citations

Peers

Bo Mi
Comparison fields: 5 of 81
  • Control and Systems Engineering 197
  • Transportation 31
  • Artificial Intelligence 152
  • Computer Vision and Pattern Recognition 77
  • Building and Construction 46
Replace Haoran Yan with:
Haoran Yan China
Wenjiang Ji China
Aidin Ferdowsi United States
Dong-Ryeol Shin South Korea
Youxiang Duan China
Abdeslam El Fergougui Morocco
Xiumei Fan China
Shuo Xiao China
Bo Mi relative to Haoran Yan China Haoran Yan's profile →
Citations per field
00.5×2×4×6×8.8×
Haoran Yan · 1×
Citations per year

Countries citing papers authored by Bo Mi

Since Specialization
Citations

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

Fields of papers citing papers by Bo Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201859
2 201843
3 202341
4 202038
5 200736
6 202233
7 201933
8 202230
9 201722
10 202319
11 202216
12 201815
13 202113
14 202012
15 202312
16 201811
17 201911
18 201810
19 20249
20 20239

About Bo Mi

Bo Mi is a scholar working on Artificial Intelligence, Control and Systems Engineering, Information Systems, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 58 papers that have together received 571 indexed citations. Recurring topics across this work include Cryptography and Data Security (21 papers), Privacy-Preserving Technologies in Data (15 papers), Vehicular Ad Hoc Networks (VANETs) (11 papers), Fault Detection and Control Systems (6 papers), Blockchain Technology Applications and Security (5 papers), Machine Fault Diagnosis Techniques (5 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Complexity and Algorithms in Graphs (4 papers). The work is most often cited by research in Control and Systems Engineering (197 citations), Transportation (31 citations), Artificial Intelligence (152 citations), Computer Vision and Pattern Recognition (77 citations) and Building and Construction (46 citations). Bo Mi has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Darong Huang, Ling Zhao, Zhenyuan Zhang, Shaohua Wan, Yong Chen, Xiaofeng Liao, Xin Fang, Jianqiu Cao, Bo Bi and Bing Xu. Their work appears in journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems, Systems Science & Control Engineering, IEEE Transactions on Vehicular Technology and Journal of Control Science and Engineering.

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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