Ze Chen

712 citations
45 papers · 522 · h-index 12

Impact in

Papers in

Ze Chen

43 papers receiving 502 citations

Peers

Ze Chen
Comparison fields: 5 of 53
  • Computer Networks and Communications 353
  • Computer Vision and Pattern Recognition 95
  • Electrical and Electronic Engineering 166
  • Artificial Intelligence 99
  • Media Technology 21
Replace Peiyuan Guan with:
Peiyuan Guan China
Mau‐Luen Tham Malaysia
Amir Hossein Mohajerzadeh Iran
Lunyuan Chen China
Mai Abdelhakim United States
Shunpu Tang China
Rong Du China
Han Hu China
Gaofeng Nie China
Ze Chen relative to Peiyuan Guan China Peiyuan Guan's profile →
Citations per field
00.5×10×15×
Peiyuan Guan · 1×
Citations per year

Countries citing papers authored by Ze Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ze Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202064
2 201564
3 201459
4 201557
5 202046
6 201440
7 201424
8 201721
9 202313
10 201912
11 201511
12 201911
13 202211
14 20217
15 20217
16 20246
17 20236
18 20176
19 20226
20 20234

About Ze Chen

Ze Chen is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Information Systems, having authored 45 papers that have together received 522 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (8 papers), Network Security and Intrusion Detection (6 papers), Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Smart Grid Security and Resilience (4 papers), Caching and Content Delivery (4 papers), Blockchain Technology Applications and Security (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (353 citations), Computer Vision and Pattern Recognition (95 citations), Electrical and Electronic Engineering (166 citations), Artificial Intelligence (99 citations) and Media Technology (21 citations). Ze Chen has collaborated with scholars based in China, United States and Cayman Islands. Frequent co-authors include Jun Bi, Kai Gao, Rongxin Jiang, Zhihang Fu, Xiaojun Hei, Yayu Gao, Sohaib Manzoor, Yangyang Wang, Xian‐Sheng Hua and Hongyu Hu. Their work appears in journals such as Sensors, IEEE Access, IET Generation Transmission & Distribution, Image and Vision Computing and IEEE Transactions on Network and Service Management.

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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