Chong Teng
- Artificial Intelligence top 5%
- Management Science and Operations Research top 10%
- Information Systems
- Computer Vision and Pattern Recognition
- Molecular Biology
- Co-authors
- Donghong JiHao FeiFei LiJingye LiShengqiong WuJiang LiuMeishan ZhangBobo Li
- Topics
- Topic Modeling (24 papers)Natural Language Processing Techniques (15 papers)Advanced Text Analysis Techniques (13 papers)
In The Last Decade
Chong Teng
29 papers receiving 323 citations
Hit Papers
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 294
- Management Science and Operations Research 48
- Information Systems 44
- Computer Vision and Pattern Recognition 30
- Molecular Biology 21
Countries citing papers authored by Chong Teng
This map shows the geographic impact of Chong Teng'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 Chong Teng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chong Teng more than expected).
Fields of papers citing papers by Chong Teng
This network shows the impact of papers produced by Chong Teng. 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 Chong Teng. The network helps show where Chong Teng may publish in the future.
Co-authorship network of co-authors of Chong Teng
This figure shows the co-authorship network connecting the top 25 collaborators of Chong Teng. A scholar is included among the top collaborators of Chong Teng 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 Chong Teng. Chong Teng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 17 | |
| 15 | Word Sense Induction Using Lexical Chain based Hypergraph Model | 4 |
| 16 | Context-Enhanced Personalized Social Summarization | 9 |
| 17 | Social Summarization via Automatically Discovered Social Context | 7 |
| 18 | Query-Focused Multi-Document Summarization Using Co-Training Based Semi-Supervised Learning | 1 |
| 19 | 2 | |
| 20 | Multi-Strategy Question Answering System for NTCIR-7 C-C Task. | 3 |
About Chong Teng
Chong Teng is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 335 indexed citations. Recurring topics across this work include Topic Modeling (24 papers), Natural Language Processing Techniques (15 papers) and Advanced Text Analysis Techniques (13 papers). The work is most often cited by research in Artificial Intelligence (294 citations), Management Science and Operations Research (48 citations) and Information Systems (44 citations). Chong Teng has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Donghong Ji, Hao Fei, Fei Li, Jingye Li, Shengqiong Wu, Jiang Liu, Meishan Zhang, Bobo Li, Yanxiang He and Donghong Ji. Their work appears in journals such as Information Sciences, Neurocomputing 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.