Chi-Yin Chow

6.5k total citations · 1 hit paper
116 papers, 4.4k citations indexed

About

Chi-Yin Chow is a scholar working on Artificial Intelligence, Signal Processing and Transportation. According to data from OpenAlex, Chi-Yin Chow has authored 116 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 33 papers in Signal Processing and 31 papers in Transportation. Recurrent topics in Chi-Yin Chow's work include Data Management and Algorithms (31 papers), Human Mobility and Location-Based Analysis (25 papers) and Recommender Systems and Techniques (19 papers). Chi-Yin Chow is often cited by papers focused on Data Management and Algorithms (31 papers), Human Mobility and Location-Based Analysis (25 papers) and Recommender Systems and Techniques (19 papers). Chi-Yin Chow collaborates with scholars based in Hong Kong, United States and China. Chi-Yin Chow's co-authors include Mohamed F. Mokbel, Jia-Dong Zhang, Walid G. Aref, Xuan Liu, Yanhua Li, Hong Va Leong, Zhixiang He, Alvin Chan, Victor C. S. Lee and Yan Lyu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Chi-Yin Chow

110 papers receiving 4.2k citations

Hit Papers

The new Casper: query processing for location services wi... 2006 2026 2012 2019 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chi-Yin Chow Hong Kong 34 2.2k 1.4k 1.1k 1.0k 852 116 4.4k
Reza Shokri Switzerland 28 6.1k 2.7× 525 0.4× 664 0.6× 698 0.7× 1.2k 1.4× 61 6.9k
Dingqi Yang China 27 1.3k 0.6× 1.1k 0.8× 716 0.6× 407 0.4× 274 0.3× 68 2.8k
Guangzhong Sun China 20 883 0.4× 1.7k 1.2× 827 0.7× 546 0.5× 108 0.1× 110 3.4k
Antonio Corradi Italy 35 622 0.3× 590 0.4× 1.4k 1.3× 3.5k 3.4× 251 0.3× 285 5.2k
Yong Ge United States 28 1.1k 0.5× 997 0.7× 1.4k 1.2× 375 0.4× 213 0.3× 80 2.8k
Ramón Cáceres United States 27 782 0.3× 735 0.5× 753 0.7× 1.6k 1.5× 177 0.2× 42 2.8k
Mirco Nanni Italy 19 711 0.3× 1.4k 1.0× 434 0.4× 291 0.3× 147 0.2× 70 2.7k
Haibo Hu Hong Kong 28 1.4k 0.6× 231 0.2× 392 0.3× 726 0.7× 292 0.3× 154 2.5k
Wen-Chih Peng Taiwan 24 668 0.3× 633 0.5× 436 0.4× 438 0.4× 122 0.1× 92 2.1k
Dan Lin United States 28 1.0k 0.5× 214 0.2× 782 0.7× 772 0.8× 508 0.6× 95 2.4k

Countries citing papers authored by Chi-Yin Chow

Since Specialization
Citations

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

Fields of papers citing papers by Chi-Yin Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi-Yin Chow. 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 Chi-Yin Chow. The network helps show where Chi-Yin Chow may publish in the future.

Co-authorship network of co-authors of Chi-Yin Chow

This figure shows the co-authorship network connecting the top 25 collaborators of Chi-Yin Chow. A scholar is included among the top collaborators of Chi-Yin Chow 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 Chi-Yin Chow. Chi-Yin Chow 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
2.
McIntyre, Daniel, Aashray Gupta, Brandon Stretton, et al.. (2024). From Pixels to Patterns: An Evaluation of AI-Generated Synthetic ECGs. Heart Lung and Circulation. 33. S384–S384.
3.
Tang, Zhi‐Ri, Kam-Yiu Lam, Chi-Yin Chow, et al.. (2023). Weakly supervised real-time instance segmentation for ultrasound images of median nerves. Computers in Biology and Medicine. 162. 107057–107057. 6 indexed citations
4.
Ji, Meng, Harrison Ng Chok, Rongying Li, et al.. (2022). COVID-19–Related Health Inequalities Induced by the Use of Social Media: Systematic Review. SHILAP Revista de lepidopterología. 2(2). e38453–e38453. 3 indexed citations
5.
He, Zhixiang, Chi-Yin Chow, Jia-Dong Zhang, & Kam-Yiu Lam. (2022). H3Rec: Higher-Order Heterogeneous and Homogeneous Interaction Modeling for Group Recommendations of Web Services. IEEE Transactions on Services Computing. 16(2). 1212–1224. 3 indexed citations
6.
Zhao, Xiaofei, et al.. (2021). MVLevelDB: Using Log-Structured Tree to Support Temporal Queries in IoT. IEEE Internet of Things Journal. 9(10). 7815–7825. 3 indexed citations
7.
8.
Ji, Meng, Tianqi Zhou, Fan Yang, et al.. (2021). Detecting Symptom Errors in Neural Machine Translation of Patient Health Information on Depressive Disorders: Developing Interpretable Bayesian Machine Learning Classifiers. Frontiers in Psychiatry. 12. 771562–771562. 5 indexed citations
9.
Ji, Meng, et al.. (2021). Supporting Risk‐Aware Use of Online Translation Tools in Delivering Mental Healthcare Services among Spanish‐Speaking Populations. Computational Intelligence and Neuroscience. 2021(1). 1011197–1011197. 1 indexed citations
10.
Ji, Meng, et al.. (2021). Developing Machine Learning and Statistical Tools to Evaluate the Accessibility of Public Health Advice on Infectious Diseases among Vulnerable People. Computational Intelligence and Neuroscience. 2021(1). 1916690–1916690. 3 indexed citations
11.
Ji, Meng, et al.. (2021). Predicting Risks of Machine Translations of Public Health Resources by Developing Interpretable Machine Learning Classifiers. International Journal of Environmental Research and Public Health. 18(16). 8789–8789. 3 indexed citations
12.
He, Zhixiang, Chi-Yin Chow, Jia-Dong Zhang, & Ning Li. (2019). GRADI: Towards Group Recommendation Using Attentive Dual Top-Down and Bottom-Up Influences. 631–636. 8 indexed citations
13.
Wang, Ran, Chi-Yin Chow, Yan Lyu, et al.. (2017). TaxiRec: Recommending Road Clusters to Taxi Drivers Using Ranking-Based Extreme Learning Machines. IEEE Transactions on Knowledge and Data Engineering. 30(3). 585–598. 52 indexed citations
14.
Chow, Chi-Yin, et al.. (2016). OrbitOutlook: Autonomous Verification and Validation of Non-Traditional Data for Improved Space Situational Awareness. amos. 32. 3 indexed citations
15.
Chow, Chi-Yin & Shashi Shekhar. (2013). Proceedings of the Second ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems. 46(5). 420–4. 2 indexed citations
16.
Chow, Chi-Yin, et al.. (2009). Evaluation of Range Nearest-Neighbor Queries with Quality Guarantee. 5 indexed citations
17.
Cheng, Reynold, Jinchuan Chen, Mohamed F. Mokbel, & Chi-Yin Chow. (2008). Probabilistic Verifiers: Evaluating Constrained Nearest-Neighbor Queries over Uncertain Data. The HKU Scholars Hub (University of Hong Kong). 973–982. 98 indexed citations
18.
Mokbel, Mohamed F. & Chi-Yin Chow. (2006). Challenges in Preserving Location Privacy in Peer-to-Peer Environments. 1–1. 17 indexed citations
19.
Mokbel, Mohamed F., Chi-Yin Chow, & Walid G. Aref. (2006). The new Casper: query processing for location services without compromising privacy. 763–774. 677 indexed citations breakdown →
20.
Chow, Chi-Yin, Hong Va Leong, & Alvin Chan. (2004). Group-based cooperative cache management for mobile clients in a mobile environment. Proceedings of the International Conference on Parallel Processing. 83–90. 32 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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