Dongming Chen

1.6k citations
133 papers · 1.2k · h-index 18

Impact in

Papers in

Dongming Chen

119 papers receiving 1.1k citations

Peers

Dongming Chen
Comparison fields: 5 of 153
  • Statistical and Nonlinear Physics 196
  • Physical and Theoretical Chemistry 85
  • Spectroscopy 144
  • Computer Vision and Pattern Recognition 149
  • Computational Mathematics 4
Replace Muhammad Kamran Siddiqui with:
Muhammad Kamran Siddiqui Pakistan
Chris Joslin Canada
Pedro Bernaola‐Galván Spain
Shibing Wang China
Jiahao Chen China
Patrick Riley United States
Pedro Carpena Spain
Kelin Xia Singapore
Guanghua Liu China
Ke Liang China
Dongming Chen relative to Muhammad Kamran Siddiqui Pakistan Muhammad Kamran Siddiqui's profile →
Citations per field
00.5×2.5×
Muhammad Kamran Siddiqui · 1×
Citations per year

Countries citing papers authored by Dongming Chen

Since Specialization
Citations

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

Fields of papers citing papers by Dongming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020115
2 200275
3 200168
4 200261
5 202347
6 201435
7 201434
8 200231
9 200531
10 202024
11 201824
12 202322
13 200922
14 200622
15 201121
16 202020
17 201117
18 201917
19 200416
20 199815

About Dongming Chen

Dongming Chen is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Materials Chemistry, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 133 papers that have together received 1.2k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (31 papers), Opinion Dynamics and Social Influence (17 papers), Advanced Graph Neural Networks (13 papers), Porphyrin and Phthalocyanine Chemistry (12 papers), Catalytic Processes in Materials Science (9 papers), Photochemistry and Electron Transfer Studies (8 papers), Chaos-based Image/Signal Encryption (8 papers) and Spectroscopy and Quantum Chemical Studies (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (196 citations), Physical and Theoretical Chemistry (85 citations), Spectroscopy (144 citations), Computer Vision and Pattern Recognition (149 citations) and Computational Mathematics (4 citations). Dongming Chen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Tian‐Jing He, Fan-Chen Liu, Dongqi Wang, Xinyu Huang, Tao Ren, Ying‐Hui Zhang, Dongqi Wang, Wenfang Hu, Mohsen Ardabilian and Liming Chen. Their work appears in journals such as Chemical Physics Letters, The Journal of Physical Chemistry A, Chemical Physics, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy and Medicine.

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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