Hao Jin
Impact in
-
- Computational Geometry and Mesh Generation
-
- Rheology and Fluid Dynamics Studies
Papers in
-
- Chaos-based Image/Signal Encryption 6
- Advanced Steganography and Watermarking Techniques 4
- Advanced Image Processing Techniques 3
-
- Advanced Numerical Methods in Computational Mathematics 4
- Fluid Dynamics and Turbulent Flows 3
- Computational Fluid Dynamics and Aerodynamics 3
- Co-authors
- R. I. Tanner (6 shared papers)N.‐E. Wiberg (1 shared paper)Jun Mou (5 shared papers)Dong An (2 shared papers)N. Phan‐Thien (4 shared papers)Ji Xu (2 shared papers)Huizhen Yan (2 shared papers)Ruolin Yang (1 shared paper)
In The Last Decade
Hao Jin
30 papers receiving 546 citations
Peers
Comparison fields: 5 of 73
- Computer Graphics and Computer-Aided Design 69
- Fluid Flow and Transfer Processes 66
- Computational Mechanics 167
- Computer Vision and Pattern Recognition 151
- Statistical and Nonlinear Physics 52
Countries citing papers authored by Hao Jin
This map shows the geographic impact of Hao 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 Hao Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Jin more than expected).
Fields of papers citing papers by Hao Jin
This network shows the impact of papers produced by Hao 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 Hao Jin. The network helps show where Hao Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 69 | |
| 2 | 2016 | 68 | |
| 3 | 1993 | 66 | |
| 4 | 1990 | 63 | |
| 5 | 2020 | 52 | |
| 6 | 2021 | 42 | |
| 7 | 2021 | 41 | |
| 8 | 1991 | 35 | |
| 9 | 1998 | 18 | |
| 10 | 1991 | 14 | |
| 11 | 2022 | 13 | |
| 12 | 1989 | 12 | |
| 13 | 2021 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2007 | 9 | |
| 16 | 1988 | 8 | |
| 17 | 1996 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 1994 | 5 | |
| 20 | 2023 | 4 |
About Hao Jin
Hao Jin is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Fluid Flow and Transfer Processes, Mechanics of Materials and Artificial Intelligence, having authored 32 papers that have together received 566 indexed citations. Recurring topics across this work include Rheology and Fluid Dynamics Studies (6 papers), Chaos-based Image/Signal Encryption (6 papers), Advanced Steganography and Watermarking Techniques (4 papers), Numerical methods in engineering (4 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Fluid Dynamics and Turbulent Flows (3 papers), Computational Fluid Dynamics and Aerodynamics (3 papers) and Advanced Image Processing Techniques (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (69 citations), Fluid Flow and Transfer Processes (66 citations), Computational Mechanics (167 citations), Computer Vision and Pattern Recognition (151 citations) and Statistical and Nonlinear Physics (52 citations). Hao Jin has collaborated with scholars based in China, Australia and Sweden. Frequent co-authors include R. I. Tanner, N.‐E. Wiberg, Jun Mou, Dong An, N. Phan‐Thien, Ji Xu, Huizhen Yan, Ruolin Yang, Xuan‐Yu Wang and Yaqian Wang. Their work appears in journals such as Computational Mechanics, International Journal for Numerical Methods in Engineering, Multimedia Tools and Applications, Journal of Non-Newtonian Fluid Mechanics and IEEE Access.
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.