Chunhua Ju
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Sociology and Political Science top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Shichao ZhangXuelong LiXindong WuXiaofeng ZhuKhaled HassaneinMilena HeadChonghuan XuMa Xiao
- Topics
- Recommender Systems and Techniques (8 papers)Data Mining Algorithms and Applications (7 papers)Rough Sets and Fuzzy Logic (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceInformation Systems and Management
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Chunhua Ju
63 papers receiving 857 citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 378
- Computer Vision and Pattern Recognition 266
- Information Systems 180
- Sociology and Political Science 115
- Computer Networks and Communications 90
Countries citing papers authored by Chunhua Ju
This map shows the geographic impact of Chunhua Ju'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 Chunhua Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunhua Ju more than expected).
Fields of papers citing papers by Chunhua Ju
This network shows the impact of papers produced by Chunhua Ju. 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 Chunhua Ju. The network helps show where Chunhua Ju may publish in the future.
Co-authorship network of co-authors of Chunhua Ju
This figure shows the co-authorship network connecting the top 25 collaborators of Chunhua Ju. A scholar is included among the top collaborators of Chunhua Ju 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 Chunhua Ju. Chunhua Ju 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 | 0 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 20 | |
| 8 | 3 | |
| 9 | 25 | |
| 10 | 6 | |
| 11 | 3 | |
| 12 | 13 | |
| 13 | 15 | |
| 14 | 35 | |
| 15 | Mining approximate frequency itemsets over data streams based on hash and interesting degree | 1 |
| 16 | Distributed data mining model based on Support Vector Machines | 3 |
| 17 | Dynamical stochastic resource allocation optimization for business process based on optimized production technology | 2 |
| 18 | 13 | |
| 19 | Analysis of the Status Quo of Information Construction of Domestic Enterprise Logistics and Reflexation | 1 |
| 20 | 3 |
About Chunhua Ju
Chunhua Ju is a scholar working on Information Systems, Marketing and Information Systems and Management, having authored 73 papers that have together received 896 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (8 papers), Data Mining Algorithms and Applications (7 papers) and Rough Sets and Fuzzy Logic (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (266 citations), Artificial Intelligence (378 citations) and Information Systems and Management (61 citations). Chunhua Ju has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shichao Zhang, Xuelong Li, Xindong Wu, Xiaofeng Zhu, Khaled Hassanein, Milena Head, Chonghuan Xu, Ma Xiao, Shuai Zhao and Song Han. Their work appears in journals such as Expert Systems with Applications, Sensors and Information Sciences.
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.