Ting Jin
Impact in
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
- Statistics and Probability top 2%
- Fuzzy Systems and Optimization
Papers in
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- Fuzzy Systems and Optimization 23
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- Fractional Differential Equations Solutions 12
- Co-authors
- Shangce Gao (7 shared papers)Xiangfeng Yang (3 shared papers)Yuanguo Zhu (4 shared papers)Sichen Tao (2 shared papers)Hui Ding (4 shared papers)Kaiyu Wang (1 shared paper)Jiujun Cheng (1 shared paper)Hongwei Dai (1 shared paper)
In The Last Decade
Ting Jin
36 papers receiving 874 citations
Peers
Comparison fields: 5 of 104
- Modeling and Simulation 96
- Statistics and Probability 151
- Management Science and Operations Research 121
- Artificial Intelligence 307
- Applied Mathematics 80
Countries citing papers authored by Ting Jin
This map shows the geographic impact of Ting Jin'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 Ting Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Jin more than expected).
Fields of papers citing papers by Ting Jin
This network shows the impact of papers produced by Ting Jin. 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 Ting Jin. The network helps show where Ting Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 185 | |
| 2 | 2021 | 96 | |
| 3 | 2021 | 47 | |
| 4 | 2020 | 45 | |
| 5 | 2021 | 39 | |
| 6 | 2020 | 36 | |
| 7 | 2021 | 36 | |
| 8 | 2019 | 35 | |
| 9 | 2021 | 33 | |
| 10 | 2021 | 29 | |
| 11 | 2020 | 28 | |
| 12 | 2022 | 24 | |
| 13 | 2020 | 23 | |
| 14 | 2020 | 23 | |
| 15 | 1998 | 22 | |
| 16 | 2020 | 22 | |
| 17 | 2022 | 21 | |
| 18 | 2022 | 20 | |
| 19 | 2021 | 15 | |
| 20 | 2023 | 14 |
About Ting Jin
Ting Jin is a scholar working on Statistics and Probability, Modeling and Simulation, Applied Mathematics, Artificial Intelligence and Management Science and Operations Research, having authored 40 papers that have together received 895 indexed citations. Recurring topics across this work include Fuzzy Systems and Optimization (23 papers), Fractional Differential Equations Solutions (12 papers), Nonlinear Differential Equations Analysis (9 papers), Stochastic processes and financial applications (6 papers), Stability and Control of Uncertain Systems (4 papers), Neural Networks and Applications (3 papers), Multi-Criteria Decision Making (3 papers) and Probabilistic and Robust Engineering Design (3 papers). The work is most often cited by research in Modeling and Simulation (96 citations), Statistics and Probability (151 citations), Management Science and Operations Research (121 citations), Artificial Intelligence (307 citations) and Applied Mathematics (80 citations). Ting Jin has collaborated with scholars based in China, Japan and Canada. Frequent co-authors include Shangce Gao, Xiangfeng Yang, Yuanguo Zhu, Sichen Tao, Hui Ding, Kaiyu Wang, Jiujun Cheng, Hongwei Dai, Xingyi Zhang and Hao Chen. Their work appears in journals such as Chaos Solitons & Fractals, Knowledge-Based Systems, Soft Computing, Physica A Statistical Mechanics and its Applications and Journal of Intelligent & Fuzzy Systems.
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.