Yi-Ming Chan

791 total citations
28 papers, 441 citations indexed

About

Yi-Ming Chan is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Yi-Ming Chan has authored 28 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 11 papers in Automotive Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Yi-Ming Chan's work include Video Surveillance and Tracking Methods (15 papers), Advanced Neural Network Applications (13 papers) and Autonomous Vehicle Technology and Safety (11 papers). Yi-Ming Chan is often cited by papers focused on Video Surveillance and Tracking Methods (15 papers), Advanced Neural Network Applications (13 papers) and Autonomous Vehicle Technology and Safety (11 papers). Yi-Ming Chan collaborates with scholars based in Taiwan, South Korea and United States. Yi-Ming Chan's co-authors include Pei‐Yung Hsiao, Li‐Chen Fu, Jia‐Hong Lee, Shih-Shinh Huang, Chu‐Song Chen, Cheng‐En Wu, Chun‐Chi Chen, Chien‐Hung Chen, Chein‐Hung Chen and Chih‐Yi Chiu and has published in prestigious journals such as International Journal of Molecular Sciences, BMC Bioinformatics and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Yi-Ming Chan

27 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yi-Ming Chan Taiwan	11	342	148	92	45	43	28	441
Morten B. Jensen Denmark	9	269 0.8×	125 0.8×	44 0.5×	49 1.1×	43 1.0×	17	426
Farzeen Munir South Korea	10	291 0.9×	257 1.7×	83 0.9×	35 0.8×	60 1.4×	29	449
Yiqi Zhong China	8	261 0.8×	100 0.7×	122 1.3×	53 1.2×	21 0.5×	12	459
Tsong-Yi Chen Taiwan	10	359 1.0×	64 0.4×	93 1.0×	75 1.7×	52 1.2×	44	459
Ratnesh Kumar India	6	399 1.2×	120 0.8×	73 0.8×	29 0.6×	61 1.4×	17	489
Zhengkai Tu China	9	410 1.2×	293 2.0×	154 1.7×	29 0.6×	82 1.9×	16	555
J. Giebel Germany	5	289 0.8×	78 0.5×	66 0.7×	26 0.6×	50 1.2×	5	336
Yue Meng China	9	108 0.3×	126 0.9×	57 0.6×	33 0.7×	67 1.6×	26	369
Ruijie Quan China	11	468 1.4×	77 0.5×	126 1.4×	17 0.4×	53 1.2×	24	614

Countries citing papers authored by Yi-Ming Chan

Since Specialization

Citations

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

Fields of papers citing papers by Yi-Ming Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi-Ming 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 Yi-Ming Chan. The network helps show where Yi-Ming Chan may publish in the future.

Co-authorship network of co-authors of Yi-Ming Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Yi-Ming Chan. A scholar is included among the top collaborators of Yi-Ming 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 Yi-Ming Chan. Yi-Ming 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

Chen, Chun‐Chi, et al.. (2024). REDalign: accurate RNA structural alignment using residual encoder-decoder network. BMC Bioinformatics. 25(1). 346–346.

Chan, Yi-Ming, et al.. (2023). LSTM4piRNA: Efficient piRNA Detection in Large-Scale Genome Databases Using a Deep Learning-Based LSTM Network. International Journal of Molecular Sciences. 24(21). 15681–15681. 1 indexed citations

Chen, Chun‐Chi & Yi-Ming Chan. (2023). REDfold: accurate RNA secondary structure prediction using residual encoder-decoder network. BMC Bioinformatics. 24(1). 122–122. 18 indexed citations

Lee, Jia‐Hong, et al.. (2020). Pruning Depthwise Separable Convolutions for MobileNet Compression. 1–8. 17 indexed citations

Wu, Cheng‐En, et al.. (2019). Compacting, Picking and Growing for Unforgetting Continual Learning. arXiv (Cornell University). 32. 13647–13657. 42 indexed citations

Wu, Cheng‐En, Yi-Ming Chan, & Chu‐Song Chen. (2019). On Merging MobileNets for Efficient Multitask Inference. 16–20. 1 indexed citations

Wu, Cheng‐En, Yi-Ming Chan, Chien‐Hung Chen, Wen‐Cheng Chen, & Chu‐Song Chen. (2019). IMMVP: An Efficient Daytime and Nighttime On-Road Object Detector. 1–5. 5 indexed citations

Lee, Jia‐Hong, et al.. (2018). Joint Estimation of Age and Gender from Unconstrained Face Images Using Lightweight Multi-Task CNN for Mobile Applications. 162–165. 28 indexed citations

Chan, Yi-Ming, et al.. (2018). Merging Deep Neural Networks for Mobile Devices. 1767–17678. 2 indexed citations

10.

Chan, Yi-Ming, et al.. (2015). Near-Infrared-Based Nighttime Pedestrian Detection Using Grouped Part Models. IEEE Transactions on Intelligent Transportation Systems. 16(4). 1929–1940. 26 indexed citations

11.

Chan, Yi-Ming, et al.. (2014). Pedestrian detection system in low illumination conditions through Fusion of image and range data. 2253–2254. 2 indexed citations

12.

Wu, Cheng‐En, et al.. (2013). Combining multiple complementary features for pedestrian and motorbike detection. 1358–1363. 6 indexed citations

13.

Chan, Yi-Ming, et al.. (2012). Vehicle detection and tracking under various lighting conditions using a particle filter. IET Intelligent Transport Systems. 6(1). 1–8. 48 indexed citations

14.

Chan, Yi-Ming, et al.. (2012). Comparison of granules features for pedestrian detection. pp. 1777–1782. 6 indexed citations

15.

Chan, Yi-Ming, et al.. (2012). Integrating Appearance and Edge Features for Sedan Vehicle Detection in the Blind-Spot Area. IEEE Transactions on Intelligent Transportation Systems. 13(2). 737–747. 87 indexed citations

16.

Lin, Yu‐Chun, et al.. (2011). Near-infrared based nighttime pedestrian detection by combining multiple features. 1549–1554. 14 indexed citations

17.

Chan, Yi-Ming, et al.. (2010). Incorporating appearance and edge features for vehicle detection in the blind-spot area. 80. 869–874. 6 indexed citations

18.

Chan, Yi-Ming, Shih-Shinh Huang, Li‐Chen Fu, & Pei‐Yung Hsiao. (2007). Vehicle Detection under Various Lighting Conditions by Incorporating Particle Filter. 534–539. 57 indexed citations

19.

Huang, Shih-Shinh, et al.. (2007). Driver Assistance System Using Integrated Information from Lane Geometry and Vehicle Direction. 12. 986–991. 5 indexed citations

20.

Huang, Shih-Shinh, et al.. (2006). Road detection and classification in urban environments using conditional random field models. 963–967. 3 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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