Xingyan Chen

897 citations
58 papers · 563 · h-index 14

Impact in

Papers in

Xingyan Chen

46 papers receiving 552 citations

Peers

Xingyan Chen
Comparison fields: 5 of 90
  • Computer Networks and Communications 194
  • Renewable Energy, Sustainability and the Environment 110
  • Computer Vision and Pattern Recognition 104
  • Signal Processing 39
  • Artificial Intelligence 105
Replace Amol Deshpande with:
Amol Deshpande India
Zhi-Jie Wang China
Jingyuan Li China
Shihong Chen China
Yian Zhu China
Bingwu Liu China
Mingyang Zhong China
Ran Bi China
Durgesh Kumar Mishra India
Yi Cao 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 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202470
2 201857
3 202244
4 202241
5 202227
6 201926
7 202024
8 201922
9 202219
10 202018
11 202115
12 201914
13 202314
14 202113
15 202412
16 202211
17 202310
18 202210
19 20249
20 20209

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 58 papers that have together received 563 indexed citations. Recurring topics across this work include Caching and Content Delivery (12 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 (8 papers), Cooperative Communication and Network Coding (7 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 (194 citations), Renewable Energy, Sustainability and the Environment (110 citations), Computer Vision and Pattern Recognition (104 citations), Signal Processing (39 citations) and Artificial Intelligence (105 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, Lifen Liu, Gabriel‐Miro Muntean, Fuzhen Zhuang, Hao Hao and Dapeng Wu. Their work appears in journals such as IEEE Transactions on Multimedia, Journal of Materials Chemistry A, Journal of the American Chemical Society, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Computers.

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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