Zhenya Huang
- Artificial Intelligence top 0.5%
- Computer Science Applications top 0.2%
- Information Systems top 1%
- Computer Vision and Pattern Recognition top 5%
- Developmental and Educational Psychology top 5%
- Topics
- Intelligent Tutoring Systems and Adaptive Learning (50 papers)Topic Modeling (40 papers)Online Learning and Analytics (34 papers)
- Journals
- Journal of Medicinal ChemistryExpert Systems with ApplicationsIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Zhenya Huang
99 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 1.9k
- Computer Science Applications 946
- Information Systems 520
- Computer Vision and Pattern Recognition 235
- Developmental and Educational Psychology 196
Countries citing papers authored by Zhenya Huang
This map shows the geographic impact of Zhenya Huang'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 Zhenya Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenya Huang more than expected).
Fields of papers citing papers by Zhenya Huang
This network shows the impact of papers produced by Zhenya Huang. 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 Zhenya Huang. The network helps show where Zhenya Huang may publish in the future.
Co-authorship network of co-authors of Zhenya Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhenya Huang. A scholar is included among the top collaborators of Zhenya Huang 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 Zhenya Huang. Zhenya Huang 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 | 10 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 0 | |
| 14 | 5 | |
| 15 | 20 | |
| 16 | 4 | |
| 17 | 31 | |
| 18 | 5 | |
| 19 | 57 | |
| 20 | Interpretable Cognitive Diagnosis with Neural Network for Intelligent Educational Systems. | 2 |
About Zhenya Huang
Zhenya Huang is a scholar working on Computer Science Applications, Artificial Intelligence and Information Systems, having authored 113 papers that have together received 2.3k indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (50 papers), Topic Modeling (40 papers) and Online Learning and Analytics (34 papers). The work is most often cited by research in Computer Science Applications (946 citations), Artificial Intelligence (1.9k citations) and Information Systems (520 citations). Zhenya Huang has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Enhong Chen, Qi Liu, Yu Su, Yu Yin, Shijin Wang, Guoping Hu, Qi Liu, Shuanghong Shen, Qi Liu and Hui Xiong. Their work appears in journals such as Journal of Medicinal Chemistry, Expert Systems with Applications and IEEE Transactions on Neural Networks and Learning Systems.
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.