Dingjie Wang
Impact in
- Computational Mathematics top 10%
- Tensor decomposition and applications
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- Bioinformatics and Genomic Networks 5
- Gene Regulatory Network Analysis 4
- Genomics and Chromatin Dynamics 2
- RNA modifications and cancer 2
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- Complex Network Analysis Techniques 6
- Opinion Dynamics and Social Influence 3
- Co-authors
- Xiufen Zou (10 shared papers)Haitao Wang (1 shared paper)Suoqin Jin (4 shared papers)Wei Yu (1 shared paper)Fang‐Xiang Wu (1 shared paper)Ben Goertzel (1 shared paper)Gino Yu (1 shared paper)Kin Fai Au (3 shared papers)
- Journals
- Advances in Complex Systems (2 papers)Methods (1 paper)SIAM Journal on Applied Mathematics (1 paper)Information Sciences (1 paper)Virology Journal (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Dingjie Wang
13 papers receiving 167 citations
Peers
Comparison fields: 5 of 54
- Computational Mathematics 12
- Statistical and Nonlinear Physics 92
- Computer Networks and Communications 37
- Geometry and Topology 12
- Modeling and Simulation 6
Countries citing papers authored by Dingjie Wang
This map shows the geographic impact of Dingjie Wang'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 Dingjie Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingjie Wang more than expected).
Fields of papers citing papers by Dingjie Wang
This network shows the impact of papers produced by Dingjie Wang. 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 Dingjie Wang. The network helps show where Dingjie Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dingjie Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 47 | |
| 2 | 2017 | 34 | |
| 3 | 2018 | 16 | |
| 4 | 2019 | 16 | |
| 5 | 2017 | 13 | |
| 6 | 2015 | 11 | |
| 7 | 2013 | 9 | |
| 8 | 2015 | 9 | |
| 9 | 2019 | 7 | |
| 10 | 2016 | 6 | |
| 11 | 2020 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 0 |
About Dingjie Wang
Dingjie Wang is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Computer Networks and Communications, Computational Theory and Mathematics and Pathology and Forensic Medicine, having authored 14 papers that have together received 172 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (6 papers), Bioinformatics and Genomic Networks (5 papers), Gene Regulatory Network Analysis (4 papers), Opinion Dynamics and Social Influence (3 papers), Neural Networks Stability and Synchronization (3 papers), Genomics and Chromatin Dynamics (2 papers), RNA modifications and cancer (2 papers) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Computational Mathematics (12 citations), Statistical and Nonlinear Physics (92 citations), Computer Networks and Communications (37 citations), Geometry and Topology (12 citations) and Modeling and Simulation (6 citations). Dingjie Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiufen Zou, Haitao Wang, Suoqin Jin, Wei Yu, Fang‐Xiang Wu, Ben Goertzel, Gino Yu, Kin Fai Au, Ruiting Lian and Nancy R. Zhang. Their work appears in journals such as Advances in Complex Systems, Methods, SIAM Journal on Applied Mathematics, Information Sciences and Virology Journal.
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.