Lefeng Zhang

695 citations
41 papers · 405 indexed · h-index 12

Lefeng Zhang

34 papers receiving 400 citations

Peers

Lefeng Zhang
Comparison fields: 5 of 69
  • Computer Science Applications 46
  • Artificial Intelligence 200
  • Computer Networks and Communications 67
  • Information Systems 59
  • Signal Processing 27
Replace Bazil Pârv with:
Bazil Pârv Romania
Zhe Yu United States
Hyunwoo Nam South Korea
Luis Muñoz-González United Kingdom
Eva Gibaja Spain
Sang-Ho Lee South Korea
Shen Wang China
Hyunsoo Kim South Korea
Chenyang Bu China
Lefeng Zhang relative to Bazil Pârv Romania Bazil Pârv's profile →
Citations per field
00.5×10×15.4×
Bazil Pârv · 1×
Citations per year

Countries citing papers authored by Lefeng Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Lefeng Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20253
4 20252
5 20256
6 20240
7 20244
8 20242
9 20240
10 20231
11 20235
12 20230
13 20202
14 201814
15 20155
16
Maneuver Detection of Space Object for Space Surveillance
20136
17 20060
18
A Study of Target Classification Method Based on Low-Resolution Radar Return Sequences Image Profile
20051
19 20053
20 199815

About Lefeng Zhang

Lefeng Zhang is a scholar working on Computer Science Applications, Energy Engineering and Power Technology and Artificial Intelligence, having authored 41 papers that have together received 405 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (15 papers), Mobile Crowdsensing and Crowdsourcing (8 papers), Privacy, Security, and Data Protection (6 papers), Analytical Chemistry and Chromatography (5 papers), Power Systems and Renewable Energy (3 papers), Chromatography in Natural Products (3 papers), Radar Systems and Signal Processing (3 papers) and Cryptography and Data Security (3 papers). The work is most often cited by research in Computer Science Applications (46 citations), Artificial Intelligence (200 citations) and Computer Networks and Communications (67 citations). Lefeng Zhang has collaborated with scholars based in China, Australia and Macao. Frequent co-authors include Tianqing Zhu, Wanlei Zhou, Ping Xiong, Philip S. Yu, Haibin Zhang, Longxing Wang, Weidong Hu, Dayong Ye, Zhiguang Shi and Farookh Khadeer Hussain. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, IEEE Transactions on Services Computing, International Journal of Computational Intelligence Systems, IEEE Transactions on Knowledge and Data Engineering and Sensors.

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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