Chung-Hong Lee

1.2k total citations
87 papers, 828 citations indexed

About

Chung-Hong Lee is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chung-Hong Lee has authored 87 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 27 papers in Information Systems and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chung-Hong Lee's work include Text and Document Classification Technologies (29 papers), Advanced Text Analysis Techniques (16 papers) and Web Data Mining and Analysis (16 papers). Chung-Hong Lee is often cited by papers focused on Text and Document Classification Technologies (29 papers), Advanced Text Analysis Techniques (16 papers) and Web Data Mining and Analysis (16 papers). Chung-Hong Lee collaborates with scholars based in Taiwan, Australia and Egypt. Chung-Hong Lee's co-authors include Hsin-Chang Yang, Chih‐Hung Wu, Shih‐Hao Wang, Yuchen Wei, Wen-Kai Hsu, Yenming J. Chen, Chih‐Hung Wu, Ding-Wen Chen, Yacine Terriche and Chun‐Lien Su and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Journal of Medical Internet Research.

In The Last Decade

Chung-Hong Lee

83 papers receiving 753 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chung-Hong Lee Taiwan 17 393 212 127 108 107 87 828
Siddhartha Banerjee United States 15 433 1.1× 83 0.4× 110 0.9× 77 0.7× 388 3.6× 74 1.3k
Alessio Bechini Italy 13 285 0.7× 180 0.8× 42 0.3× 66 0.6× 23 0.2× 49 770
Eva Onaindía Spain 15 432 1.1× 310 1.5× 36 0.3× 112 1.0× 33 0.3× 91 909
Charalampos Chelmis United States 16 300 0.8× 127 0.6× 189 1.5× 128 1.2× 12 0.1× 97 760
Shizhan Chen China 12 196 0.5× 219 1.0× 25 0.2× 49 0.5× 36 0.3× 97 538
Dwi H. Widyantoro Indonesia 18 723 1.8× 498 2.3× 25 0.2× 189 1.8× 35 0.3× 130 1.1k
Irene Moser Australia 17 343 0.9× 166 0.8× 89 0.7× 45 0.4× 29 0.3× 63 886
Can Zhang China 17 336 0.9× 297 1.4× 96 0.8× 143 1.3× 32 0.3× 72 737
Mimmo Parente Italy 14 233 0.6× 121 0.6× 87 0.7× 84 0.8× 9 0.1× 63 598
Hamed Vahdat‐Nejad Iran 10 187 0.5× 182 0.9× 91 0.7× 104 1.0× 34 0.3× 46 557

Countries citing papers authored by Chung-Hong Lee

Since Specialization
Citations

This map shows the geographic impact of Chung-Hong Lee'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 Chung-Hong Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chung-Hong Lee more than expected).

Fields of papers citing papers by Chung-Hong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung-Hong Lee. 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 Chung-Hong Lee. The network helps show where Chung-Hong Lee may publish in the future.

Co-authorship network of co-authors of Chung-Hong Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chung-Hong Lee. A scholar is included among the top collaborators of Chung-Hong Lee 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 Chung-Hong Lee. Chung-Hong Lee 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
1.
Dai, Hong, Chung-Hong Lee, Zhou-shen Zhao, et al.. (2025). Leveraging large language models for the deidentification and temporal normalization of sensitive health information in electronic health records. npj Digital Medicine. 8(1). 517–517.
2.
Lee, Chung-Hong, et al.. (2025). AI-driven Sensor Array Electronic Nose System for Authenticating and Recognizing Aromas in Spirit Samples. Sensors and Materials. 37(1). 23–23. 2 indexed citations
3.
4.
Lee, Chung-Hong, et al.. (2023). Unlocking the Secrets Behind Advanced Artificial Intelligence Language Models in Deidentifying Chinese-English Mixed Clinical Text: Development and Validation Study. Journal of Medical Internet Research. 26. e48443–e48443. 6 indexed citations
5.
Hsu, Wen-Kai, et al.. (2023). A risk assessment model of work safety in container dry ports. Proceedings of the Institution of Civil Engineers - Maritime Engineering. 176(4). 193–205. 10 indexed citations
6.
Lee, Chung-Hong, et al.. (2021). Event Monitoring and Intelligence Gathering Using Twitter Based Real-Time Event Summarization and Pre-Trained Model Techniques. Applied Sciences. 11(22). 10596–10596. 3 indexed citations
7.
8.
Lee, Chung-Hong & Chih‐Hung Wu. (2015). Collecting and Mining Big Data for Electric Vehicle Systems Using Battery Modeling Data. 626–631. 25 indexed citations
9.
Yang, Hsin-Chang & Chung-Hong Lee. (2012). Mining open source text documents for intelligence gathering. 969–973. 4 indexed citations
10.
Lee, Chung-Hong & Shih‐Hao Wang. (2012). An information fusion approach to integrate image annotation and text mining methods for geographic knowledge discovery. Expert Systems with Applications. 39(10). 8954–8967. 18 indexed citations
11.
Yang, Hsin-Chang & Chung-Hong Lee. (2011). Identifying spam tags by mining tag semantics. 263–268. 1 indexed citations
12.
Lee, Chung-Hong, et al.. (2010). DBHTE: A Novel Algorithm for Extracting Real-time Microblogging Topics.. Clinical Endocrinology. 13(6). 55–60. 5 indexed citations
13.
14.
Lee, Chung-Hong, et al.. (2006). A New Measure of Text Relatedness Using a Novel Classifier-based Vector Approach.. Computers and Their Applications. 211–216. 1 indexed citations
15.
Lee, Chung-Hong, et al.. (2006). Development of a Multi-Classifier Approach for Multilingual Text Categorization.. 73–77. 1 indexed citations
16.
Lee, Chung-Hong, et al.. (2006). A Novel Multilingual Text Categorization System using Latent Semantic Indexing. 2. 503–506. 12 indexed citations
17.
Yang, Hsin-Chang & Chung-Hong Lee. (2006). NaviSOM: Automatic Construction of Navigational Structure for Web Pages using Self-organizing Maps. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 985–992. 1 indexed citations
18.
Yang, Hsin-Chang & Chung-Hong Lee. (2005). A text mining approach for automatic construction of hypertexts. Expert Systems with Applications. 29(4). 723–734. 23 indexed citations
19.
Yang, Hsin-Chang & Chung-Hong Lee. (2005). Automatic Category Theme Identification and Hierarchy Generation for Chinese Text Categorization. Journal of Intelligent Information Systems. 25(1). 47–67. 7 indexed citations
20.
Lee, Chung-Hong & Hsin-Chang Yang. (2003). Text mining of multilingual corpora via computing semantic relatedness. vol.5. 5–5. 2 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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