Dongming Chen

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

Impact in

Papers in

Dongming Chen

122 papers receiving 1.2k citations

Peers

Dongming Chen
Comparison fields: 5 of 149
  • Statistical and Nonlinear Physics 199
  • Physical and Theoretical Chemistry 85
  • Spectroscopy 144
  • Computer Vision and Pattern Recognition 157
  • Computational Mathematics 4
Replace Muhammad Kamran Siddiqui with:
Muhammad Kamran Siddiqui Pakistan
Pedro Bernaola‐Galván Spain
Marc Berndl United States
Ke Liang China
Jiahao Chen China
Patrick Riley United States
Shibing Wang China
Kelin Xia Singapore
David Duvenaud Canada
Yongna Yuan 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 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020117
2 200275
3 200168
4 200261
5 202352
6 201435
7 201435
8 200531
9 200231
10 202025
11 201824
12 202324
13 200622
14 200922
15 202021
16 201121
17 202319
18 201917
19 201117
20 200416

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 132 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 (10 papers), Advanced Clustering Algorithms Research (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 (199 citations), Physical and Theoretical Chemistry (85 citations), Spectroscopy (144 citations), Computer Vision and Pattern Recognition (157 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, Medicine and Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy.

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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