Xingyan Chen

897 citations
56 papers · 548 · h-index 14

Impact in

Papers in

Xingyan Chen

45 papers receiving 537 citations

Peers

Xingyan Chen
Comparison fields: 5 of 90
  • Computer Networks and Communications 188
  • Renewable Energy, Sustainability and the Environment 110
  • Computer Vision and Pattern Recognition 100
  • Signal Processing 38
  • Computer Science Applications 17
Replace Amol Deshpande with:
Amol Deshpande India
Jingyuan Li China
Shihong Chen China
Mingyang Zhong China
Jinhao Duan China
Suherman Suherman Indonesia
Yi Cao China
Durgesh Kumar Mishra India
Ran Bi China
Xingyan Chen relative to Amol Deshpande India Amol Deshpande's profile →
Citations per field
00.5×10×15×20×
Amol Deshpande · 1×
Citations per year

Countries citing papers authored by Xingyan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xingyan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202470
2 201856
3 202244
4 202238
5 202227
6 202024
7 201923
8 201922
9 202219
10 202017
11 201914
12 202314
13 202113
14 202113
15 202412
16 202211
17 202310
18 202210
19 20249
20 20248

About Xingyan Chen

Xingyan Chen is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Renewable Energy, Sustainability and the Environment, having authored 56 papers that have together received 548 indexed citations. Recurring topics across this work include Caching and Content Delivery (11 papers), Electrocatalysts for Energy Conversion (11 papers), Image and Video Quality Assessment (9 papers), Fuel Cells and Related Materials (8 papers), Opportunistic and Delay-Tolerant Networks (7 papers), Cooperative Communication and Network Coding (6 papers), Privacy-Preserving Technologies in Data (5 papers) and Advanced battery technologies research (5 papers). The work is most often cited by research in Computer Networks and Communications (188 citations), Renewable Energy, Sustainability and the Environment (110 citations), Computer Vision and Pattern Recognition (100 citations), Signal Processing (38 citations) and Computer Science Applications (17 citations). Xingyan Chen has collaborated with scholars based in China, Ireland and United States. Frequent co-authors include Changqiao Xu, Mu Wang, Lujie Zhong, Yu Zhao, Luigi Alfredo Grieco, Gabriel‐Miro Muntean, Lifen Liu, Fuzhen Zhuang, Dapeng Wu and Gang Kou. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Mobile Computing, Transactions on Emerging Telecommunications Technologies, Journal of the American Chemical Society and Journal of Materials Chemistry A.

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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