Chenghua Lin
- Artificial Intelligence top 0.5%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 10%
- Statistical and Nonlinear Physics top 5%
- Experimental and Cognitive Psychology top 10%
- Topics
- Topic Modeling (58 papers)Natural Language Processing Techniques (38 papers)Speech and dialogue systems (13 papers)
- Journals
- Environmental PollutionIEEE Transactions on Knowledge and Data EngineeringApplied Soft Computing
- Partner nations
- United KingdomChinaNetherlands
In The Last Decade
Chenghua Lin
85 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 1.5k
- Information Systems 287
- Computer Vision and Pattern Recognition 139
- Statistical and Nonlinear Physics 139
- Experimental and Cognitive Psychology 135
Countries citing papers authored by Chenghua Lin
This map shows the geographic impact of Chenghua Lin'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 Chenghua Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenghua Lin more than expected).
Fields of papers citing papers by Chenghua Lin
This network shows the impact of papers produced by Chenghua Lin. 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 Chenghua Lin. The network helps show where Chenghua Lin may publish in the future.
Co-authorship network of co-authors of Chenghua Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Chenghua Lin. A scholar is included among the top collaborators of Chenghua Lin 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 Chenghua Lin. Chenghua Lin 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 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | Latent Space Factorisation and Manipulation via Matrix Subspace Projection | 8 |
| 15 | Understanding how to Explain Package Recommendations in the Clothes Domain | 1 |
| 16 | Extracting and Understanding Contrastive Opinion through Topic Relevant Sentences. | 4 |
| 17 | Matrix Factorization for Package Recommendations | 4 |
| 18 | Analysing the Causes of Depressed Mood from Depression Vulnerable Individuals | 12 |
| 19 | Harnessing the Crowds for Automating the Identification of Web APIs | 1 |
| 20 | Sentence Subjectivity Detection with Weakly-Supervised Learning | 26 |
About Chenghua Lin
Chenghua Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 101 papers that have together received 1.8k indexed citations. Recurring topics across this work include Topic Modeling (58 papers), Natural Language Processing Techniques (38 papers) and Speech and dialogue systems (13 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), General Social Sciences (63 citations) and Information Systems (287 citations). Chenghua Lin has collaborated with scholars based in United Kingdom, China and Netherlands. Frequent co-authors include Yulan He, Frank Guérin, Richard Everson, Stefan Rüger, Rui Mao, Harith Alani, Guanyi Chen, Ruizhe Li, Kam‐Fai Wong and Yucheng Li. Their work appears in journals such as Environmental Pollution, IEEE Transactions on Knowledge and Data Engineering and Applied Soft Computing.
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.