Keke Chen
Impact in
- Artificial Intelligence top 1%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Advanced Clustering Algorithms Research
- Information Systems top 1%
- Cloud Computing and Resource Management
- Information Retrieval and Search Behavior
Papers in
-
- Privacy-Preserving Technologies in Data 23
- Cryptography and Data Security 19
- Advanced Clustering Algorithms Research 16
- Adversarial Robustness in Machine Learning 7
- Text and Document Classification Technologies 6
-
- Data Management and Algorithms 10
- Journals
- ACM Transactions on Information Systems (2 papers)IEEE Transactions on Parallel and Distributed Systems (2 papers)Knowledge and Information Systems (2 papers)Proceedings of the VLDB Endowment (2 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Keke Chen
77 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 119
- Artificial Intelligence 981
- Information Systems 559
- Signal Processing 188
- Computer Science Applications 74
- Computer Vision and Pattern Recognition 279
Countries citing papers authored by Keke Chen
This map shows the geographic impact of Keke Chen'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 Keke Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keke Chen more than expected).
Fields of papers citing papers by Keke Chen
This network shows the impact of papers produced by Keke Chen. 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 Keke Chen. The network helps show where Keke Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Keke Chen, 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 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 5 | |
| 9 | 2021 | 9 | |
| 10 | 2021 | 2 | |
| 11 | 2019 | 20 | |
| 12 | Big data - BigData 2019 : 8th International Congress held as part of the Services Conference Federation, SCF 2019, San Diego, CA, USA, June 25-30, 2019, proceedings | 2019 | 11 |
| 13 | 2018 | 29 | |
| 14 | 2017 | 26 | |
| 15 | 2016 | 1 | |
| 16 | 2012 | 16 | |
| 17 | Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking | 2010 | 3 |
| 18 | A General Boosting Method and its Application to Learning Ranking Functions for Web Search | 2007 | 129 |
| 19 | Model of Neural Network for Road Traffic Noise Prediction of the Urban Area in Lhasa City | 2006 | 0 |
| 20 | The Best K for entropy-based categorical data clustering | 2005 | 27 |
About Keke Chen
Keke Chen is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 82 papers that have together received 1.5k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (23 papers), Cryptography and Data Security (19 papers), Advanced Clustering Algorithms Research (16 papers), Data Management and Algorithms (10 papers), Data Visualization and Analytics (9 papers), Adversarial Robustness in Machine Learning (7 papers), Complex Network Analysis Techniques (6 papers) and Text and Document Classification Technologies (6 papers). The work is most often cited by research in Artificial Intelligence (981 citations), Information Systems (559 citations), Signal Processing (188 citations), Computer Science Applications (74 citations) and Computer Vision and Pattern Recognition (279 citations). Keke Chen has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Ling Liu, Gordon Sun, Zhaohui Zheng, Hongyuan Zha, Ling Liu, Tong Zhang, Olivier Chapelle, Wenbo Wang, Lu Zhou and Hua Yan. Their work appears in journals such as ACM Transactions on Information Systems, IEEE Transactions on Parallel and Distributed Systems, Knowledge and Information Systems, Proceedings of the VLDB Endowment and IEEE Transactions on Knowledge and Data Engineering.
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.