Harry Zhang
- Artificial Intelligence top 2%
- Information Systems top 5%
- Clinical Psychology top 10%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Charles X. LingJin HuangZhihua CaiSu JiangLiangxiao JiangDianhong WangFerenc MartényiApurva Prakash
- Topics
- Bayesian Modeling and Causal Inference (8 papers)Robot Manipulation and Learning (6 papers)Data Mining Algorithms and Applications (6 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Harry Zhang
36 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 162
- Artificial Intelligence 732
- Information Systems 232
- Clinical Psychology 173
- Computational Theory and Mathematics 150
- Computer Vision and Pattern Recognition 149
Countries citing papers authored by Harry Zhang
This map shows the geographic impact of Harry Zhang'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 Harry Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harry Zhang more than expected).
Fields of papers citing papers by Harry Zhang
This network shows the impact of papers produced by Harry Zhang. 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 Harry Zhang. The network helps show where Harry Zhang may publish in the future.
Co-authorship network of co-authors of Harry Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Harry Zhang. A scholar is included among the top collaborators of Harry Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Harry Zhang. Harry Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 23 | |
| 8 | 7 | |
| 9 | 8 | |
| 10 | 79 | |
| 11 | 50 | |
| 12 | 120 | |
| 13 | 35 | |
| 14 | 77 | |
| 15 | A fast decision tree learning algorithm | 116 |
| 16 | Driver State Assessment and Driver Support Systems | 4 |
| 17 | Hidden naive Bayes | 59 |
| 18 | AUC: a statistically consistent and more discriminating measure than accuracy | 339 |
| 19 | 130 | |
| 20 | 85 |
About Harry Zhang
Harry Zhang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (8 papers), Robot Manipulation and Learning (6 papers) and Data Mining Algorithms and Applications (6 papers). The work is most often cited by research in Artificial Intelligence (732 citations), Developmental Neuroscience (49 citations) and Information Systems (232 citations). Harry Zhang has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Charles X. Ling, Jin Huang, Zhihua Cai, Su Jiang, Liangxiao Jiang, Dianhong Wang, Ferenc Martényi, Apurva Prakash, Stephanie C. Koke and Eileen B. Brown. Their work appears in journals such as The British Journal of Psychiatry, IEEE Access and The Journal of Clinical Psychiatry.
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.