Kai-Biao Lin

493 total citations
34 papers, 303 citations indexed

About

Kai-Biao Lin is a scholar working on Artificial Intelligence, Surgery and Computational Theory and Mathematics. According to data from OpenAlex, Kai-Biao Lin has authored 34 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Surgery and 7 papers in Computational Theory and Mathematics. Recurrent topics in Kai-Biao Lin's work include Imbalanced Data Classification Techniques (7 papers), Computational Drug Discovery Methods (6 papers) and Multi-Agent Systems and Negotiation (4 papers). Kai-Biao Lin is often cited by papers focused on Imbalanced Data Classification Techniques (7 papers), Computational Drug Discovery Methods (6 papers) and Multi-Agent Systems and Negotiation (4 papers). Kai-Biao Lin collaborates with scholars based in China, Taiwan and United Arab Emirates. Kai-Biao Lin's co-authors include Nan‐Ping Yang, K. Robert Lai, Chien‐Lung Chan, Ping Lu, Ren-Hao Pan, Nien‐Tzu Chang, Chien‐Hsun Huang, Fan Yang, Fan Yang and Min Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Environmental Research and Public Health.

In The Last Decade

Kai-Biao Lin

30 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai-Biao Lin China 10 114 101 73 62 29 34 303
Richard Ambrosino United States 5 45 0.4× 45 0.4× 104 1.4× 29 0.5× 9 0.3× 6 441
Max Horn Switzerland 9 60 0.5× 36 0.4× 211 2.9× 29 0.5× 24 0.8× 17 507
Thomas Gumbsch Switzerland 4 46 0.4× 28 0.3× 127 1.7× 17 0.3× 10 0.3× 8 270
Haijun Zhai United States 11 41 0.4× 46 0.5× 201 2.8× 13 0.2× 13 0.4× 19 464
Marcella Rovani Italy 5 154 1.4× 46 0.5× 35 0.5× 61 1.0× 5 0.2× 6 264
Apoorva Gupta India 9 36 0.3× 12 0.1× 76 1.0× 14 0.2× 28 1.0× 36 354
Gina‐Maria Pomann United States 9 32 0.3× 18 0.2× 30 0.4× 53 0.9× 4 0.1× 41 251
Steven Rubin Canada 10 324 2.8× 20 0.2× 39 0.5× 239 3.9× 19 0.7× 15 441
Abdullah Alanazi Saudi Arabia 10 27 0.2× 20 0.2× 104 1.4× 21 0.3× 5 0.2× 54 435
David Parry New Zealand 12 60 0.5× 5 0.0× 84 1.2× 75 1.2× 15 0.5× 39 570

Countries citing papers authored by Kai-Biao Lin

Since Specialization
Citations

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

Fields of papers citing papers by Kai-Biao Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai-Biao 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 Kai-Biao Lin. The network helps show where Kai-Biao Lin may publish in the future.

Co-authorship network of co-authors of Kai-Biao Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Kai-Biao Lin. A scholar is included among the top collaborators of Kai-Biao 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 Kai-Biao Lin. Kai-Biao 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
1.
Liu, Yong, et al.. (2025). Bayesian learning-based agent negotiation model to support doctor-patient shared decision making. BMC Medical Informatics and Decision Making. 25(1). 67–67. 1 indexed citations
2.
Lin, Kai-Biao, et al.. (2025). Asymmetric drug interaction prediction via multi-scale fusion of directed topological relationships and drug features. Computational Biology and Chemistry. 118. 108491–108491.
3.
Lu, Ping, et al.. (2025). MSMDL-DDI: Multi-Layer Soft Mask Dual-View Learning for Drug–Drug Interactions. Computational Biology and Chemistry. 115. 108355–108355. 1 indexed citations
4.
Lu, Ping, et al.. (2024). MASMDDI: multi-layer adaptive soft-mask graph neural network for drug-drug interaction prediction. Frontiers in Pharmacology. 15. 1369403–1369403. 7 indexed citations
5.
Lin, Kai-Biao, et al.. (2024). Health insurance fraud detection based on multi-channel heterogeneous graph structure learning. Heliyon. 10(9). e30045–e30045. 12 indexed citations
6.
Lu, Ping, et al.. (2024). Prediction of multiple types of drug interactions based on multi-scale fusion and dual-view fusion. Frontiers in Pharmacology. 15. 1354540–1354540. 1 indexed citations
7.
Lin, Kai-Biao, et al.. (2024). Health Insurance Fraud Detection via Multiview Heterogeneous Information Networks With Augmented Graph Structure Learning. IEEE Transactions on Computational Social Systems. 12(5). 2297–2317. 1 indexed citations
8.
Lin, Kai-Biao, et al.. (2023). An opponent model for agent-based shared decision-making via a genetic algorithm. Frontiers in Psychology. 14. 1124734–1124734. 1 indexed citations
9.
Lin, Kai-Biao, et al.. (2023). Health insurance fraud detection by using an attributed heterogeneous information network with a hierarchical attention mechanism. BMC Medical Informatics and Decision Making. 23(1). 62–62. 19 indexed citations
10.
Lin, Kai-Biao, et al.. (2022). Fuzzy constraint-based agent negotiation framework for doctor-patient shared decision-making. BMC Medical Informatics and Decision Making. 22(1). 218–218. 5 indexed citations
11.
Lin, Kai-Biao, et al.. (2022). A Chinese Named Entity Recognition Method Fusing Word and Radical Features. 1451. 502–508. 1 indexed citations
12.
Lin, Kai-Biao, et al.. (2022). MFDA: Multiview fusion based on dual-level attention for drug interaction prediction. Frontiers in Pharmacology. 13. 1021329–1021329. 7 indexed citations
13.
Lin, Kai-Biao, et al.. (2022). Multitype drug interaction prediction based on the deep fusion of drug features and topological relationships. PLoS ONE. 17(8). e0273764–e0273764. 14 indexed citations
14.
Lu, Ping, Nan‐Ping Yang, Nien‐Tzu Chang, et al.. (2018). Effect of socioeconomic inequalities on cholecystectomy outcomes: a 10-year population-based analysis. International Journal for Equity in Health. 17(1). 22–22. 15 indexed citations
15.
Pan, Jeng‐Shyang, et al.. (2017). Knowledge Graph Embedding Translation Based on Constraints.. J. Inf. Hiding Multim. Signal Process.. 8. 1119–1131. 7 indexed citations
16.
Lin, Kai-Biao, K. Robert Lai, Nan‐Ping Yang, et al.. (2015). Trends and outcomes in the utilization of laparoscopic appendectomies in a low-income population in Taiwan from 2003 to 2011. International Journal for Equity in Health. 14(1). 100–100. 8 indexed citations
17.
Lin, Kai-Biao, et al.. (2015). Epidemiology of appendicitis and appendectomy for the low-income population in Taiwan, 2003–2011. BMC Gastroenterology. 15(1). 18–18. 28 indexed citations
18.
Lin, Kai-Biao, K. Robert Lai, Nan‐Ping Yang, et al.. (2015). Epidemiology and socioeconomic features of appendicitis in Taiwan: a 12-year population-based study. World Journal of Emergency Surgery. 10(1). 42–42. 55 indexed citations
19.
Lin, Kai-Biao, et al.. (2014). Remote Holes Detection Algorithms for Wireless Sensor Networks. SHILAP Revista de lepidopterología.
20.
Yeh, Yung‐Hsiang, et al.. (1993). Percutaneous Transcystic Cholangioscopy for Combined Treatment of Gallbladder and Bile Duct Stones. Endoscopy. 25(8). 518–522. 4 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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