Jonathan H. Chan

1.1k total citations
65 papers, 627 citations indexed

About

Jonathan H. Chan is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jonathan H. Chan has authored 65 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jonathan H. Chan's work include Bioinformatics and Genomic Networks (10 papers), Gene expression and cancer classification (9 papers) and Topic Modeling (6 papers). Jonathan H. Chan is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Gene expression and cancer classification (9 papers) and Topic Modeling (6 papers). Jonathan H. Chan collaborates with scholars based in Thailand, Canada and Hong Kong. Jonathan H. Chan's co-authors include Pornchai Mongkolnam, Worrawat Engchuan, J. A. Kadyk, G. Alexander, G. H. Trilling, P. B. Price, Asawin Meechai, Vajirasak Vanijja, Suree Funilkul and Debajyoti Pal and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Scientific Reports.

In The Last Decade

Jonathan H. Chan

61 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan H. Chan Thailand	13	161	116	77	59	46	65	627
Feng Dong United Kingdom	15	111 0.7×	63 0.5×	17 0.2×	231 3.9×	28 0.6×	38	1.1k
Yingchun Guo China	16	167 1.0×	15 0.1×	94 1.2×	384 6.5×	30 0.7×	111	1.2k
Sarah Bird China	13	232 1.4×	59 0.5×	13 0.2×	107 1.8×	6 0.1×	40	902
Ajit Narayanan New Zealand	15	164 1.0×	11 0.1×	99 1.3×	58 1.0×	12 0.3×	98	939
Sumit Das India	5	69 0.4×	66 0.6×	10 0.1×	23 0.4×	6 0.1×	25	299
Emanuele Panizzi Italy	10	78 0.5×	83 0.7×	10 0.1×	52 0.9×	54 1.2×	42	381
Mark C. Wilson New Zealand	14	95 0.6×	11 0.1×	64 0.8×	23 0.4×	58 1.3×	53	641
Mike Just United Kingdom	16	127 0.8×	35 0.3×	10 0.1×	108 1.8×	45 1.0×	83	909
Simone Bonechi Italy	10	96 0.6×	28 0.2×	26 0.3×	123 2.1×	10 0.2×	32	314
Christoph Scholz Germany	14	67 0.4×	63 0.5×	25 0.3×	29 0.5×	3 0.1×	44	590

Countries citing papers authored by Jonathan H. Chan

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan H. Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan H. Chan. 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 Jonathan H. Chan. The network helps show where Jonathan H. Chan may publish in the future.

Co-authorship network of co-authors of Jonathan H. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan H. Chan. A scholar is included among the top collaborators of Jonathan H. Chan 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 Jonathan H. Chan. Jonathan H. Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Mongkolnam, Pornchai, et al.. (2025). Integrating Sensor Data with Large Language Models for Enhanced Elderly Care: A Methodological Framework. Sensors and Materials. 37(3). 1099–1099. 2 indexed citations

Chakraborty, Debasrita, et al.. (2023). Transfer-recursive-ensemble learning for multi-day COVID-19 prediction in India using recurrent neural networks. Scientific Reports. 13(1). 6795–6795. 9 indexed citations

Chan, Jonathan H., et al.. (2023). Fall risk assessment dataset: older-adult participants undergoing the time up and go test. Data in Brief. 51. 109653–109653.

Chan, Jonathan H., et al.. (2023). Freezing of Gait Prediction Using Deep Learning. 1–6. 4 indexed citations

Pal, Debajyoti, et al.. (2022). A Systematic Review of Voice Assistant Usability: An ISO 9241–11 Approach. SN Computer Science. 3(4). 267–267. 36 indexed citations

Chan, Jonathan H., et al.. (2021). Learning from imbalanced COVID-19 chest X-ray (CXR) medical imaging data. Methods. 202. 31–39. 5 indexed citations

Engchuan, Worrawat, et al.. (2020). Predicting the effect of variants on splicing using Convolutional Neural Networks. PeerJ. 8. e9470–e9470. 3 indexed citations

Chan, Jonathan H., et al.. (2019). Enhancing metabolic event extraction performance with multitask learning concept. Journal of Biomedical Informatics. 93. 103156–103156. 6 indexed citations

Chakraborty, Debasrita, et al.. (2018). Trigger Detection System for American Sign Language using Deep Convolutional Neural Networks. 1–6. 12 indexed citations

10.

Engchuan, Worrawat, et al.. (2016). GSNFS: Gene subnetwork biomarker identification of lung cancer expression data. BMC Medical Genomics. 9(S3). 70–70. 10 indexed citations

11.

Patumcharoenpol, Preecha, et al.. (2016). An integrated text mining framework for metabolic interaction network reconstruction. PeerJ. 4. e1811–e1811. 8 indexed citations

12.

Engchuan, Worrawat, et al.. (2016). Gene-set activity toolbox (GAT): A platform for microarray-based cancer diagnosis using an integrative gene-set analysis approach. Journal of Bioinformatics and Computational Biology. 14(4). 1650015–1650015. 4 indexed citations

13.

Chan, Jonathan H., et al.. (2016). Semi-automatic construction of thyroid cancer intervention corpus from biomedical abstracts. x. 150–157. 5 indexed citations

14.

Fong, Simon, et al.. (2015). Real-Time Analysis of Vital Signs Using Incremental Data Stream Mining Techniques with a Case Study of ARDS Under ICU Treatment. Journal of Medical Imaging and Health Informatics. 5(5). 1108–1115. 1 indexed citations

15.

Chan, Jonathan H. & Qinran Hu. (2014). Simulation of a Smart Home Energy Management System with Dynamic Price Response. 5(1). 4 indexed citations

16.

Mongkolnam, Pornchai, et al.. (2014). Postural classification using Kinect. 403–408. 6 indexed citations

17.

Leung, Chi-Sing, et al.. (2009). Neural information processing : 16th International Conference, ICONIP 2009, Bangkok, Thailand, December 1-5, 2009 : proceedings. Springer eBooks. 1 indexed citations

18.

Watanapa, Bunthit & Jonathan H. Chan. (2006). Classification of extended control chart patterns: a neural networks approach. 24–29. 1 indexed citations

19.

Price, P. B., Jonathan H. Chan, H. J. Crawford, & J. D. Sullivan. (1973). Systematics of heavy ion enhancements in solar flares. International Cosmic Ray Conference. 2. 1479. 3 indexed citations

20.

Price, P. Buford, Jonathan H. Chan, I. D. Hutcheon, et al.. (1973). Low-energy heavy ions in the solar system. Lunar and Planetary Science Conference Proceedings. 4. 2347. 6 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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