Changjie Tang
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Molecular Biology
- Co-authors
- Shaojie QiaoLei DuanHuidong JinMichael ChauKazuo UshijimaTeng LongJames BaileyJiangtao Qiu
- Topics
- Evolutionary Algorithms and Applications (22 papers)Metaheuristic Optimization Algorithms Research (12 papers)Data Management and Algorithms (10 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Changjie Tang
72 papers receiving 418 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 239
- Information Systems 110
- Computer Networks and Communications 100
- Signal Processing 93
- Molecular Biology 58
Countries citing papers authored by Changjie Tang
This map shows the geographic impact of Changjie Tang'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 Changjie Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changjie Tang more than expected).
Fields of papers citing papers by Changjie Tang
This network shows the impact of papers produced by Changjie Tang. 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 Changjie Tang. The network helps show where Changjie Tang may publish in the future.
Co-authorship network of co-authors of Changjie Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Changjie Tang. A scholar is included among the top collaborators of Changjie Tang 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 Changjie Tang. Changjie Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | Proceedings of the 11th international conference on Web-age information management | 4 |
| 4 | 4 | |
| 5 | SHG-Tree: An Efficient Index Structure of Spatial Database | 2 |
| 6 | 21 | |
| 7 | 57 | |
| 8 | Optimization PID Controller Based on Gene Expression Programming | 1 |
| 9 | 1 | |
| 10 | A Novel Self-adaptive Immune Genetic Algorithm | 2 |
| 11 | New method for classification:extract features based on gene expression programming | 3 |
| 12 | A Chinese Traditional Medicine Prescription Effect Reduction Algorithm Based on Artificial Neural Network and Property Distance Matrix | 2 |
| 13 | 1 | |
| 14 | Function Mining Based on Gene Expression Programming ——Convergency Analysis and Remnant-guided Evolution Algorithm | 5 |
| 15 | Implementation of Mining Algorithm for the Regression Model Based on Spatial Multicollinearity Data | 0 |
| 16 | The Association Rules Aided Genetic Algorithm for Text Classification | 3 |
| 17 | 12 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 1 |
About Changjie Tang
Changjie Tang is a scholar working on Artificial Intelligence, Signal Processing and Information Systems, having authored 80 papers that have together received 445 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (22 papers), Metaheuristic Optimization Algorithms Research (12 papers) and Data Management and Algorithms (10 papers). The work is most often cited by research in Signal Processing (93 citations), Artificial Intelligence (239 citations) and Computer Science Applications (36 citations). Changjie Tang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shaojie Qiao, Lei Duan, Huidong Jin, Michael Chau, Kazuo Ushijima, Teng Long, James Bailey, Jiangtao Qiu, Jian Pei and Qing Li. Their work appears in journals such as Applied Soft Computing, Theoretical Computer Science and Data Mining and Knowledge Discovery.
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.