Yong‐Bin Kang

976 total citations
33 papers, 516 citations indexed

About

Yong‐Bin Kang is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Yong‐Bin Kang has authored 33 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 8 papers in Information Systems and 6 papers in Molecular Biology. Recurrent topics in Yong‐Bin Kang's work include Semantic Web and Ontologies (9 papers), Topic Modeling (7 papers) and Biomedical Text Mining and Ontologies (6 papers). Yong‐Bin Kang is often cited by papers focused on Semantic Web and Ontologies (9 papers), Topic Modeling (7 papers) and Biomedical Text Mining and Ontologies (6 papers). Yong‐Bin Kang collaborates with scholars based in Australia, United States and Singapore. Yong‐Bin Kang's co-authors include Pari Delir Haghighi, Abdur Rahim Mohammad Forkan, Prem Prakash Jayaraman, Ahsan Morshed, Frada Burstein, Yuan-Fang Li, Shonali Krishnaswamy, Rifat Shahriyar, Abhik Bhattacharjee and Arkady Zaslavsky and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Transactions on Cybernetics.

In The Last Decade

Yong‐Bin Kang

31 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong‐Bin Kang Australia 11 240 77 51 47 38 33 516
José-Francisco Díez-Pastor Spain 17 509 2.1× 115 1.5× 18 0.4× 114 2.4× 58 1.5× 43 913
Tulus Tulus Indonesia 11 160 0.7× 189 2.5× 17 0.3× 37 0.8× 21 0.6× 140 516
Deepali Vora India 12 183 0.8× 74 1.0× 18 0.4× 98 2.1× 14 0.4× 56 464
Qizhang Feng United States 7 154 0.6× 46 0.6× 19 0.4× 32 0.7× 37 1.0× 12 335
Zohaib Jan Australia 10 117 0.5× 52 0.7× 17 0.3× 37 0.8× 26 0.7× 19 443
Heder S. Bernardino Brazil 14 388 1.6× 67 0.9× 186 3.6× 17 0.4× 19 0.5× 96 731
Amirmudin Udin Malaysia 10 137 0.6× 23 0.3× 24 0.5× 46 1.0× 73 1.9× 24 430
Muhammad Abubakar Siddique Pakistan 9 89 0.4× 38 0.5× 19 0.4× 103 2.2× 21 0.6× 34 391
Mohammad A. Alzubaidi Jordan 10 112 0.5× 82 1.1× 21 0.4× 47 1.0× 11 0.3× 28 487
Chao Yan China 13 235 1.0× 225 2.9× 104 2.0× 83 1.8× 14 0.4× 39 669

Countries citing papers authored by Yong‐Bin Kang

Since Specialization
Citations

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

Fields of papers citing papers by Yong‐Bin Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong‐Bin Kang. 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 Yong‐Bin Kang. The network helps show where Yong‐Bin Kang may publish in the future.

Co-authorship network of co-authors of Yong‐Bin Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Yong‐Bin Kang. A scholar is included among the top collaborators of Yong‐Bin Kang 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 Yong‐Bin Kang. Yong‐Bin Kang 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.
McCosker, Anthony, et al.. (2025). Deepening the data divide: Marginalised perspectives and non-profit priorities in Australian data sharing reforms. Big Data & Society. 12(1). 1 indexed citations
2.
Banerjee, Abhik, Abdur Rahim Mohammad Forkan, Yong‐Bin Kang, et al.. (2024). 5G enabled smart cities: A real-world evaluation and analysis of 5G using a pilot smart city application. Internet of Things. 28. 101326–101326. 6 indexed citations
3.
Bhattacharjee, Abhik, et al.. (2023). CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language Pairs. Monash University Research Portal (Monash University). 2541–2564. 12 indexed citations
4.
Forkan, Abdur Rahim Mohammad, et al.. (2023). VideoDL: Video-Based Digital Learning Framework Using AI Question Generation and Answer Assessment. International Journal of Advanced Corporate Learning (iJAC). 16(1). 19–27. 6 indexed citations
5.
Forkan, Abdur Rahim Mohammad, Yong‐Bin Kang, Abhik Banerjee, et al.. (2023). AIoT-CitySense: AI and IoT-Driven City-Scale Sensing for Roadside Infrastructure Maintenance. Data Science and Engineering. 9(1). 26–40. 10 indexed citations
6.
Kang, Yong‐Bin, et al.. (2022). Resilience in Web-Based Mental Health Communities: Building a Resilience Dictionary With Semiautomatic Text Analysis. JMIR Formative Research. 6(9). e39013–e39013. 5 indexed citations
7.
Kang, Yong‐Bin, et al.. (2022). ExpFinder: A hybrid model for expert finding from text-based expertise data. Expert Systems with Applications. 211. 118691–118691. 8 indexed citations
8.
Forkan, Abdur Rahim Mohammad, et al.. (2022). Culture, Strengths, and Risk: The Language of Pre-Sentence Reports in Indigenous Sentencing Courts and Mainstream Courts. Criminal Justice and Behavior. 50(1). 76–100. 1 indexed citations
9.
Kang, Yong‐Bin, et al.. (2021). An open-source framework for ExpFinder integrating N -gram vector space model and μ CO-HITS. Software Impacts. 8. 100069–100069. 1 indexed citations
10.
Hasan, Tahmid, Abhik Bhattacharjee, Md. Saiful Islam, et al.. (2021). XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages. Monash University Research Portal (Monash University). 4693–4703. 103 indexed citations
11.
Jayaraman, Prem Prakash, Abdur Rahim Mohammad Forkan, Ahsan Morshed, Pari Delir Haghighi, & Yong‐Bin Kang. (2019). Healthcare 4.0: A review of frontiers in digital health. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 10(2). 111 indexed citations
12.
Haghighi, Pari Delir, Yong‐Bin Kang, Rachelle Buchbinder, Frada Burstein, & Samuel Whittle. (2017). Investigating Subjective Experience and the Influence of Weather Among Individuals With Fibromyalgia: A Content Analysis of Twitter. JMIR Public Health and Surveillance. 3(1). e4–e4. 19 indexed citations
13.
Kang, Yong‐Bin, Yuan-Fang Li, & Ross L. Coppel. (2015). Capturing Researcher Expertise through MeSH Classification. Swinburne Research Bank (Swinburne University of Technology). 1–8. 2 indexed citations
14.
Kang, Yong‐Bin, et al.. (2014). How Long Will It Take? Accurate Prediction of Ontology Reasoning Performance. Proceedings of the AAAI Conference on Artificial Intelligence. 28(1). 10 indexed citations
15.
Kang, Yong‐Bin, Shonali Krishnaswamy, & Yuan-Fang Li. (2014). A Meta-reasoner to Rule Them All. Swinburne Research Bank (Swinburne University of Technology). 1935–1938. 1 indexed citations
16.
Kang, Yong‐Bin, Pari Delir Haghighi, & Frada Burstein. (2014). CFinder: An intelligent key concept finder from text for ontology development. Expert Systems with Applications. 41(9). 4494–4504. 36 indexed citations
17.
Kang, Yong‐Bin, Yuan-Fang Li, & Shonali Krishnaswamy. (2012). A Rigorous Characterization of Classification Performance - A Tale of Four Reasoners.. Swinburne Research Bank (Swinburne University of Technology). 1 indexed citations
18.
Park, Seong-Won, et al.. (2007). A Survey on Projector-Based PC Cluster Distributed Large Screen Displays and Shader Technologies.. 153–159. 1 indexed citations
19.
Kang, Yong‐Bin & Kijoon Chae. (2007). XMegaWall: A Super High-Resolution Tiled Display using a PC Cluster. 4 indexed citations
20.
Kang, Yong‐Bin, et al.. (2005). A fastest route planning for LBS based on traffic prediction. International Conference on Systems. 69. 5 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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