Chi Wang
- Computational Mathematics top 5%
-
- Advanced Neural Network Applications 7
- Video Surveillance and Tracking Methods 4
- Artificial Intelligence top 1%
- Topic Modeling 9
- Machine Learning and Data Classification 8
- Machine Learning and Algorithms 6
- Natural Language Processing Techniques 6
- Algorithms and Data Compression 4
- Media Technology top 2%
- Urban Studies top 2%
-
- Web Data Mining and Analysis 4
- Journals
- Proceedings of the VLDB Endowment (2 papers)Discrete Mathematics (2 papers)Polymer Composites (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Chi Wang
67 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Computational Mathematics 32
- Computer Vision and Pattern Recognition 703
- Artificial Intelligence 878
- Media Technology 170
- Urban Studies 99
Countries citing papers authored by Chi Wang
This map shows the geographic impact of Chi Wang'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 Chi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi Wang more than expected).
Fields of papers citing papers by Chi Wang
This network shows the impact of papers produced by Chi Wang. 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 Chi Wang. The network helps show where Chi Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chi Wang, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 1 | |
| 5 | ECONOMIC HYPERPARAMETER OPTIMIZATION WITH BLENDED SEARCH STRATEGY | 2021 | 5 |
| 6 | FLAML: A Fast and Lightweight AutoML Library | 2021 | 51 |
| 7 | DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation | 2021 | 4 |
| 8 | 2021 | 33 | |
| 9 | 2021 | 5 | |
| 10 | AdaTune: Adaptive Tensor Program Compilation Made Efficient | 2020 | 9 |
| 11 | FLO: Fast and Lightweight Hyperparameter Optimization for AutoML. | 2019 | 4 |
| 12 | 2019 | 38 | |
| 13 | 2019 | 40 | |
| 14 | 2019 | 112 | |
| 15 | 2018 | 18 | |
| 16 | Identifying Outlier Arms in Multi-Armed Bandit | 2017 | 5 |
| 17 | 2016 | 1 | |
| 18 | 2015 | 1 | |
| 19 | Multi-View Clustering via Joint Nonnegative Matrix Factorizationbreakdown → | 2013 | 645 |
| 20 | 1993 | 10 |
About Chi Wang
Chi Wang is a scholar working on Computational Mathematics, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 72 papers that have together received 1.9k indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Machine Learning and Data Classification (8 papers), Advanced Neural Network Applications (7 papers), Machine Learning and Algorithms (6 papers), Natural Language Processing Techniques (6 papers), Video Surveillance and Tracking Methods (4 papers), Algorithms and Data Compression (4 papers) and Web Data Mining and Analysis (4 papers). The work is most often cited by research in Computational Mathematics (32 citations), Computer Vision and Pattern Recognition (703 citations), Artificial Intelligence (878 citations), Media Technology (170 citations) and Urban Studies (99 citations). Chi Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jiawei Han, Jialu Liu, Jing Gao, Ahmed El-Kishky, Xiang Ren, Clare R. Voss, Jingbo Shang, Qingyun Wu, Srikanth Kandula and Surajit Chaudhuri. Their work appears in journals such as Proceedings of the VLDB Endowment, Discrete Mathematics, Polymer Composites, NeuroImage and Journal of Imaging Science and Technology.
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.