Chenghua Lin

3.4k total citations · 1 hit paper
101 papers, 1.8k citations indexed

About

Chenghua Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Chenghua Lin has authored 101 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 15 papers in Information Systems. Recurrent topics in Chenghua Lin's work include Topic Modeling (58 papers), Natural Language Processing Techniques (38 papers) and Speech and dialogue systems (13 papers). Chenghua Lin is often cited by papers focused on Topic Modeling (58 papers), Natural Language Processing Techniques (38 papers) and Speech and dialogue systems (13 papers). Chenghua Lin collaborates with scholars based in United Kingdom, China and Netherlands. Chenghua Lin's 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 and has published in prestigious journals such as Environmental Pollution, IEEE Transactions on Knowledge and Data Engineering and Applied Soft Computing.

In The Last Decade

Chenghua Lin

85 papers receiving 1.7k citations

Hit Papers

Joint sentiment/topic model for sentiment analysis 2009 2026 2014 2020 2009 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Joint sentiment/topic model for sentiment analysis
    2009 633 citations Chenghua Lin, Yulan He Open Research Online (The Open University) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chenghua Lin United Kingdom 17 1.5k 287 139 139 135 101 1.8k
Lun‐Wei Ku Taiwan 19 1.2k 0.8× 283 1.0× 77 0.6× 78 0.6× 41 0.3× 81 1.4k
Alexandra Balahur Spain 21 1.4k 0.9× 270 0.9× 48 0.3× 64 0.5× 72 0.5× 62 1.6k
Carina Silberer Germany 11 1.1k 0.7× 180 0.6× 243 1.7× 34 0.2× 58 0.4× 19 1.4k
Kumar Ravi India 14 881 0.6× 303 1.1× 36 0.3× 59 0.4× 32 0.2× 28 1.3k
Junichiro Mori Japan 16 434 0.3× 279 1.0× 56 0.4× 220 1.6× 53 0.4× 59 926
Andrés Montoyo Spain 18 1.2k 0.8× 247 0.9× 32 0.2× 64 0.5× 65 0.5× 113 1.4k
Grigori Sidorov Mexico 19 1.2k 0.8× 451 1.6× 101 0.7× 26 0.2× 42 0.3× 171 1.6k
Derwin Suhartono Indonesia 19 706 0.5× 352 1.2× 124 0.9× 21 0.2× 90 0.7× 170 1.4k

Countries citing papers authored by Chenghua Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
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Sun, Y. J., et al.. (2025). LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models. Research Explorer (The University of Manchester). 4299–4308.
3.
Li, Yucheng, Frank Guérin, & Chenghua Lin. (2024). LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 18600–18607. 3 indexed citations
4.
Bai, Jun, Zhuofan Chen, Zhenzi Li, et al.. (2024). Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking. 12356–12374. 1 indexed citations
5.
Li, Yucheng, et al.. (2024). An Open-Source Data Contamination Report for Large Language Models. 528–541. 1 indexed citations
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Gao, Min, et al.. (2024). EML: Emotion-Aware Meta Learning for Cross-Event False Information Detection. ACM Transactions on Knowledge Discovery from Data. 18(8). 1–25.
9.
Lin, Chenghua, et al.. (2023). How capital campaigns support the development of universities: A multiple-case study from top American universities. International Journal of Educational Development. 100. 102789–102789.
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Li, Yizhi, et al.. (2022). HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models. 334–346. 1 indexed citations
12.
Li, Jianxin, et al.. (2022). Adaptive Pre-Training and Collaborative Fine-Tuning: A Win-Win Strategy to Improve Review Analysis Tasks. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 622–634. 2 indexed citations
13.
Rong, Wenge, et al.. (2022). Token Relation Aware Chinese Named Entity Recognition. ACM Transactions on Asian and Low-Resource Language Information Processing. 22(1). 1–21. 4 indexed citations
14.
Li, Xiao, et al.. (2020). Latent Space Factorisation and Manipulation via Matrix Subspace Projection. Aberdeen University Research Archive (Aberdeen University). 119. 5916–5926. 8 indexed citations
15.
Siddharthan, Advaith, et al.. (2018). Understanding how to Explain Package Recommendations in the Clothes Domain. Open Research Online (The Open University). 74–78. 1 indexed citations
16.
Lin, Chenghua, et al.. (2017). Extracting and Understanding Contrastive Opinion through Topic Relevant Sentences.. International Joint Conference on Natural Language Processing. 2. 395–400. 4 indexed citations
17.
Siddharthan, Advaith, et al.. (2017). Matrix Factorization for Package Recommendations. Aberdeen University Research Archive (Aberdeen University). 23–28. 4 indexed citations
18.
Lin, Chenghua, et al.. (2017). Analysing the Causes of Depressed Mood from Depression Vulnerable Individuals. International Joint Conference on Natural Language Processing. 9–17. 12 indexed citations
19.
Pedrinaci, Carlos, Dong Liu, Chenghua Lin, & John Domingue. (2012). Harnessing the Crowds for Automating the Identification of Web APIs. Open Research Online (The Open University). 58–63. 1 indexed citations
20.
Lin, Chenghua, Yulan He, & Richard Everson. (2011). Sentence Subjectivity Detection with Weakly-Supervised Learning. Open Research Online (The Open University). 1153–1161. 26 indexed citations

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.

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