S. Jin
Impact in
- Mathematical Physics top 10%
- Advanced Mathematical Physics Problems
-
- Nonlinear Waves and Solitons
- Nonlinear Photonic Systems
Papers in
-
- Service-Oriented Architecture and Web Services 1
- Information Retrieval and Search Behavior 1
- Software Engineering Research 1
-
- Protein Structure and Dynamics 1
- Co-authors
- David W. McLaughlin (1 shared paper)Mohammed J. Zaki (1 shared paper)Xiaohui Liu (1 shared paper)Man Lan (1 shared paper)Zhanpeng Jin (1 shared paper)Libin Liu (1 shared paper)Huashan Liu (1 shared paper)Peter McNamara (1 shared paper)
- Journals
- Communications on Pure and Applied Mathematics (1 paper)Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (1 paper)Nuclear Physics A (1 paper)IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) (1 paper)Journal of Applied Physics (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
S. Jin
11 papers receiving 146 citations
Peers
Comparison fields: 5 of 40
- Mathematical Physics 58
- Statistical and Nonlinear Physics 66
- Numerical Analysis 14
- Applied Mathematics 16
- Atomic and Molecular Physics, and Optics 34
Countries citing papers authored by S. Jin
This map shows the geographic impact of S. 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 S. Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Jin more than expected).
Fields of papers citing papers by S. Jin
This network shows the impact of papers produced by S. 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 S. Jin. The network helps show where S. Jin may publish in the future.
Co-authors
The 24 scholars most cited alongside S. 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
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 94 | |
| 2 | 2003 | 20 | |
| 3 | 2007 | 11 | |
| 4 | 2019 | 7 | |
| 5 | Simple May Be Best - A Simple and Effective Method for Federated Web Search via Search Engine Impact Factor Estimation. | 2014 | 6 |
| 6 | 2023 | 5 | |
| 7 | 2023 | 5 | |
| 8 | 1995 | 5 | |
| 9 | 2015 | 1 | |
| 10 | 2012 | 1 | |
| 11 | 2001 | 1 | |
| 12 | 2000 | 1 |
About S. Jin
S. Jin is a scholar working on Information Systems, Molecular Biology, Artificial Intelligence, Statistics and Probability and Materials Chemistry, having authored 12 papers that have together received 157 indexed citations. Recurring topics across this work include Patient Safety and Medication Errors (1 paper), Service-Oriented Architecture and Web Services (1 paper), Information Retrieval and Search Behavior (1 paper), Protein Structure and Dynamics (1 paper), Thermodynamic and Structural Properties of Metals and Alloys (1 paper), Data Management and Algorithms (1 paper), Quantum Computing Algorithms and Architecture (1 paper) and Software Engineering Research (1 paper). The work is most often cited by research in Mathematical Physics (58 citations), Statistical and Nonlinear Physics (66 citations), Numerical Analysis (14 citations), Applied Mathematics (16 citations) and Atomic and Molecular Physics, and Optics (34 citations). S. Jin has collaborated with scholars based in China and United States. Frequent co-authors include David W. McLaughlin, Mohammed J. Zaki, Xiaohui Liu, Man Lan, Zhanpeng Jin, Libin Liu, Huashan Liu, Peter McNamara, Ying Gu and Kaihua Zhang. Their work appears in journals such as Communications on Pure and Applied Mathematics, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Nuclear Physics A, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and Journal of Applied Physics.
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.