Ruoming Jin
Impact in
- Signal Processing top 0.5%
- Data Management and Algorithms
-
- Complex Network Analysis Techniques
Papers in
-
- Data Management and Algorithms 47
-
- Data Mining Algorithms and Applications 34
- Journals
- Proceedings of the VLDB Endowment (7 papers)Journal of Medical Internet Research (4 papers)ACM Transactions on Knowledge Discovery from Data (4 papers)Knowledge and Information Systems (3 papers)Journal of Parallel and Distributed Computing (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Ruoming Jin
131 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 142
- Signal Processing 1.0k
- Statistical and Nonlinear Physics 609
- Computer Networks and Communications 1.0k
- Artificial Intelligence 1.4k
- Information Systems 896
Countries citing papers authored by Ruoming Jin
This map shows the geographic impact of Ruoming 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 Ruoming Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruoming Jin more than expected).
Fields of papers citing papers by Ruoming Jin
This network shows the impact of papers produced by Ruoming 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 Ruoming Jin. The network helps show where Ruoming Jin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ruoming 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 16 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 10 | |
| 9 | Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory | 2021 | 8 |
| 10 | Adversarial Attacks on Deep Graph Matching | 2020 | 13 |
| 11 | Preserving Differential Privacy in Adversarial Learning with Provable Robustness. | 2019 | 3 |
| 12 | 2016 | 18 | |
| 13 | 2015 | 15 | |
| 14 | Reachability Computation in Uncertain Graphs | 2011 | 0 |
| 15 | Multiple information sources cooperative learning | 2009 | 8 |
| 16 | Identify Dynamic Network Modules with Temporal and Spatial Constraints | 2007 | 4 |
| 17 | 2007 | 39 | |
| 18 | FREERIDE-G: Supporting Applications that Mine Remote. | 2006 | 4 |
| 19 | 2003 | 76 | |
| 20 | Shared Memory Paraellization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. | 2002 | 22 |
About Ruoming Jin
Ruoming Jin is a scholar working on Signal Processing, Information Systems, Artificial Intelligence, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 140 papers that have together received 3.1k indexed citations. Recurring topics across this work include Data Management and Algorithms (47 papers), Data Mining Algorithms and Applications (34 papers), Advanced Database Systems and Queries (25 papers), Complex Network Analysis Techniques (21 papers), Advanced Graph Neural Networks (20 papers), Graph Theory and Algorithms (13 papers), Rough Sets and Fuzzy Logic (12 papers) and Privacy-Preserving Technologies in Data (11 papers). The work is most often cited by research in Signal Processing (1.0k citations), Statistical and Nonlinear Physics (609 citations), Computer Networks and Communications (1.0k citations), Artificial Intelligence (1.4k citations) and Information Systems (896 citations). Ruoming Jin has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Gagan Agrawal, Ning Ruan, Yang Xiang, Haixun Wang, David Fuhry, Yubao Wu, Yelong Shen, Lin Liu, Jie Tang and Jing Zhang. Their work appears in journals such as Proceedings of the VLDB Endowment, Journal of Medical Internet Research, ACM Transactions on Knowledge Discovery from Data, Knowledge and Information Systems and Journal of Parallel and Distributed Computing.
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.