Chunqiu Zeng
- Artificial Intelligence top 5%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Management Science and Operations Research top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Tao LiWubai ZhouYexi JiangLarisa ShwartzGenady Ya. GrabarnikZheng LiShu‐Ching ChenS. S. Iyengar
- Topics
- Data Stream Mining Techniques (10 papers)Data Mining Algorithms and Applications (9 papers)Web Data Mining and Analysis (7 papers)
- Journals
- Expert Systems with ApplicationsACM Computing SurveysIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- United StatesChina
In The Last Decade
Chunqiu Zeng
29 papers receiving 730 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 351
- Information Systems 294
- Computer Networks and Communications 192
- Management Science and Operations Research 180
- Computer Vision and Pattern Recognition 96
Countries citing papers authored by Chunqiu Zeng
This map shows the geographic impact of Chunqiu Zeng'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 Chunqiu Zeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunqiu Zeng more than expected).
Fields of papers citing papers by Chunqiu Zeng
This network shows the impact of papers produced by Chunqiu Zeng. 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 Chunqiu Zeng. The network helps show where Chunqiu Zeng may publish in the future.
Co-authorship network of co-authors of Chunqiu Zeng
This figure shows the co-authorship network connecting the top 25 collaborators of Chunqiu Zeng. A scholar is included among the top collaborators of Chunqiu Zeng 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 Chunqiu Zeng. Chunqiu Zeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 4 | |
| 3 | Data-Driven Techniques in Disaster Information Managementbreakdown → | 250 |
| 4 | 28 | |
| 5 | 21 | |
| 6 | 17 | |
| 7 | 7 | |
| 8 | 21 | |
| 9 | 7 | |
| 10 | 9 | |
| 11 | 37 | |
| 12 | 19 | |
| 13 | 4 | |
| 14 | 18 | |
| 15 | 3 | |
| 16 | 21 | |
| 17 | 27 | |
| 18 | 46 | |
| 19 | 1 | |
| 20 | 4 |
About Chunqiu Zeng
Chunqiu Zeng is a scholar working on Information Systems, Signal Processing and Artificial Intelligence, having authored 29 papers that have together received 753 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (10 papers), Data Mining Algorithms and Applications (9 papers) and Web Data Mining and Analysis (7 papers). The work is most often cited by research in Management Science and Operations Research (180 citations), Information Systems (294 citations) and Artificial Intelligence (351 citations). Chunqiu Zeng has collaborated with scholars based in United States and China. Frequent co-authors include Tao Li, Wubai Zhou, Yexi Jiang, Larisa Shwartz, Genady Ya. Grabarnik, Zheng Li, Shu‐Ching Chen, S. S. Iyengar, Wei Xue and Yue Huang. Their work appears in journals such as Expert Systems with Applications, ACM Computing Surveys 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.