Jenq‐Haur Wang

47 papers and 790 indexed citations i.

About

Jenq‐Haur Wang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jenq‐Haur Wang has authored 47 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 16 papers in Information Systems and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jenq‐Haur Wang’s work include Topic Modeling (7 papers), Sentiment Analysis and Opinion Mining (6 papers) and Spam and Phishing Detection (6 papers). Jenq‐Haur Wang is often cited by papers focused on Topic Modeling (7 papers), Sentiment Analysis and Opinion Mining (6 papers) and Spam and Phishing Detection (6 papers). Jenq‐Haur Wang collaborates with scholars based in Taiwan, China and United States. Jenq‐Haur Wang's co-authors include Xiong Luo, Weiping Wang, Wenbing Zhao, Long Wang, Jiankun Sun, Zijun Zhang, Jinsong Wu, Chao Huang, Xiaojuan Ban and Xu Yang and has published in prestigious journals such as Sensors, IEEE Access and Sustainability.

In The Last Decade

Co-authorship network of co-authors of Jenq‐Haur Wang i

Fields of papers citing papers by Jenq‐Haur Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jenq‐Haur Wang. 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 Jenq‐Haur Wang. The network helps show where Jenq‐Haur Wang may publish in the future.

Countries citing papers authored by Jenq‐Haur Wang

Since Specialization
Citations

This map shows the geographic impact of Jenq‐Haur Wang'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 Jenq‐Haur Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jenq‐Haur Wang more than expected).

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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2025