Xingjun Chen

785 citations
33 papers · 608 · h-index 13

Impact in

Papers in

Xingjun Chen

30 papers receiving 599 citations

Peers

Xingjun Chen
Comparison fields: 5 of 102
  • Physiology 76
  • Ceramics and Composites 90
  • Building and Construction 201
  • Neurology 83
  • Neurology 34
Replace Wei Rao with:
Wei Rao China
Jiyeon Kang United States
Hoil Choi South Korea
Tianran Li China
Hongguang Bao China
Junji Yamaguchi Japan
Yijun Wang China
Xuan Kang China
Jiawei Wu China
Pengfei Wu China
Xingjun Chen relative to Wei Rao China Wei Rao's profile →
Citations per field
00.5×10×15×20.1×
Wei Rao · 1×
Citations per year

Countries citing papers authored by Xingjun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xingjun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012159
2 201290
3 201875
4 201648
5 201743
6 201225
7 202120
8 202418
9 202217
10 202215
11 201615
12 201814
13 202312
14 202311
15 20228
16 20197
17 20096
18 20174
19 20243
20 20243

About Xingjun Chen

Xingjun Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Networks and Communications, having authored 33 papers that have together received 608 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Robotic Path Planning Algorithms (4 papers), Military Defense Systems Analysis (3 papers), Optimization and Search Problems (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Recycling and utilization of industrial and municipal waste in materials production (2 papers), Nuclear materials and radiation effects (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Physiology (76 citations), Ceramics and Composites (90 citations), Building and Construction (201 citations), Neurology (83 citations) and Neurology (34 citations). Xingjun Chen has collaborated with scholars based in China, United States and Türkiye. Frequent co-authors include Anxian Lu, Keqiang Wang, Bo Chen, Jiang‐Fan Chen, Xiangpeng Ren, Xiaopan Zhang, Wei Guo, Wu Zheng, Fei Li and Zhidong Hou. Their work appears in journals such as Frontiers in Molecular Neuroscience, Journal of Ethnopharmacology, Wireless Communications and Mobile Computing, Bioinformatics and Cell Research.

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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