Zhiming Dong
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Industrial and Manufacturing Engineering top 5%
- Computer Networks and Communications
- Control and Systems Engineering
- Topics
- Advanced Multi-Objective Optimization Algorithms (8 papers)Metaheuristic Optimization Algorithms Research (8 papers)Evolutionary Algorithms and Applications (4 papers)
- Cited by
- Computational Theory and MathematicsIndustrial and Manufacturing EngineeringArtificial Intelligence
In The Last Decade
Zhiming Dong
16 papers receiving 335 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 194
- Computational Theory and Mathematics 178
- Industrial and Manufacturing Engineering 79
- Computer Networks and Communications 38
- Control and Systems Engineering 37
Countries citing papers authored by Zhiming Dong
This map shows the geographic impact of Zhiming Dong'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 Zhiming Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhiming Dong more than expected).
Fields of papers citing papers by Zhiming Dong
This network shows the impact of papers produced by Zhiming Dong. 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 Zhiming Dong. The network helps show where Zhiming Dong may publish in the future.
Co-authorship network of co-authors of Zhiming Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Zhiming Dong. A scholar is included among the top collaborators of Zhiming Dong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhiming Dong. Zhiming Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 36 | |
| 3 | 1 | |
| 4 | 61 | |
| 5 | 12 | |
| 6 | 36 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 60 | |
| 10 | 3 | |
| 11 | 49 | |
| 12 | 49 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | Difficulties and Prospects of Knowledge Extracting from Measured Trajectories | 0 |
| 16 | 3 | |
| 17 | Application of Logistic Model in Prediction of Ground Sedimentation Caused by Subway Construction | 2 |
About Zhiming Dong
Zhiming Dong is a scholar working on General Engineering, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 17 papers that have together received 340 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (8 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Evolutionary Algorithms and Applications (4 papers). The work is most often cited by research in Computational Theory and Mathematics (178 citations), Industrial and Manufacturing Engineering (79 citations) and Artificial Intelligence (194 citations). Zhiming Dong has collaborated with scholars based in China, Hong Kong and Norway. Frequent co-authors include Xianpeng Wang, Lixin Tang, Qingfu Zhang, Lei Ren, Yang Yang, Renquan Lu, Xiong Li, Fei Dong, Zhen Lei and Dongya Wu. Their work appears in journals such as Information Sciences, IEEE Transactions on Cybernetics and IEEE Transactions on Evolutionary Computation.
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.