Chaofan Wang

516 total citations
26 papers, 287 citations indexed

About

Chaofan Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Chaofan Wang has authored 26 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Human-Computer Interaction. Recurrent topics in Chaofan Wang's work include AI in Service Interactions (5 papers), Emotion and Mood Recognition (4 papers) and Gaze Tracking and Assistive Technology (3 papers). Chaofan Wang is often cited by papers focused on AI in Service Interactions (5 papers), Emotion and Mood Recognition (4 papers) and Gaze Tracking and Assistive Technology (3 papers). Chaofan Wang collaborates with scholars based in Australia, Netherlands and China. Chaofan Wang's co-authors include Jorge Gonçalves, Zhanna Sarsenbayeva, Tilman Dingler, Kangning Yang, Benjamin Tag, Greg Wadley, Vassilis Kostakos, Evangelos Niforatos, Yue Gu and Difeng Yu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, ACM Transactions on Graphics and Journal of Medical Internet Research.

In The Last Decade

Chaofan Wang

23 papers receiving 278 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaofan Wang Australia 9 88 55 46 44 38 26 287
Tommaso Gritti Netherlands 10 62 0.7× 25 0.5× 14 0.3× 211 4.8× 14 0.4× 21 390
Albert Haque United States 8 19 0.2× 98 1.8× 22 0.5× 95 2.2× 10 0.3× 12 418
Kenneth Lai Canada 10 30 0.3× 49 0.9× 32 0.7× 105 2.4× 9 0.2× 36 320
Zulqarnain Rashid United Kingdom 8 42 0.5× 12 0.2× 36 0.8× 81 1.8× 8 0.2× 24 299
Quentin Lohmeyer Switzerland 11 43 0.5× 19 0.3× 18 0.4× 68 1.5× 3 0.1× 52 370
Pratool Bharti United States 10 19 0.2× 58 1.1× 15 0.3× 174 4.0× 20 0.5× 18 356
Caio Bezerra Souto Maior Brazil 9 112 1.3× 46 0.8× 31 0.7× 18 0.4× 6 0.2× 32 304
Shaik Asif Hussain Oman 8 45 0.5× 33 0.6× 12 0.3× 94 2.1× 4 0.1× 20 303
Ali Karime Canada 10 13 0.1× 43 0.8× 30 0.7× 47 1.1× 15 0.4× 35 332
Gerrit Niezen United Kingdom 10 14 0.2× 30 0.5× 27 0.6× 69 1.6× 3 0.1× 22 309

Countries citing papers authored by Chaofan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chaofan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chaofan Wang. 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 Chaofan Wang. The network helps show where Chaofan Wang may publish in the future.

Co-authorship network of co-authors of Chaofan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chaofan Wang. A scholar is included among the top collaborators of Chaofan Wang 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 Chaofan Wang. Chaofan Wang 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.
Wang, Chaofan, et al.. (2025). Factory operators' perspectives on cognitive assistants for knowledge sharing: challenges, risks, and impact on work. Behaviour and Information Technology. 1–28.
2.
He, Chao, et al.. (2025). A hybrid time series analysis-genetic algorithm-support vector machine model for enhanced landslide prediction. International Journal of Industrial Engineering Computations. 16(3). 785–798. 1 indexed citations
3.
Wang, Chaofan, et al.. (2024). Knowledge sharing in manufacturing using LLM-powered tools: user study and model benchmarking. Frontiers in Artificial Intelligence. 7. 1293084–1293084. 16 indexed citations
4.
He, Chao, Chaofan Wang, Junwen Peng, Wenhui Jiang, & Jing Liu. (2024). SVD-LSTM-based rainfall threshold prediction for rainfall-induced landslides in Chongqing. Geomatics Natural Hazards and Risk. 15(1). 1 indexed citations
5.
Wang, Chaofan, et al.. (2023). How Emoji and Explanations Influence Adherence to AI Recommendations. Research Repository (Delft University of Technology). 1–5.
6.
Niforatos, Evangelos, et al.. (2023). Lessons Learned from Designing and Evaluating CLAICA: A Continuously Learning AI Cognitive Assistant. Research Repository (Delft University of Technology). 553–568. 8 indexed citations
7.
Wang, Chaofan, et al.. (2023). Harnessing Large Language Models for Cognitive Assistants in Factories. Research Repository (Delft University of Technology). 1–6. 22 indexed citations
8.
Wang, Chaofan, Weiwei Jiang, Kangning Yang, et al.. (2022). A System for Computational Assessment of Hand Hygiene Techniques. Journal of Medical Systems. 46(6). 36–36. 3 indexed citations
9.
Jiang, Weiwei, Difeng Yu, Chaofan Wang, et al.. (2022). Near-infrared Imaging for Information Embedding and Extraction with Layered Structures. ACM Transactions on Graphics. 42(1). 1–26. 2 indexed citations
10.
Yang, Kangning, Benjamin Tag, Chaofan Wang, et al.. (2022). Survey on Emotion Sensing Using Mobile Devices. IEEE Transactions on Affective Computing. 14(4). 2678–2696. 14 indexed citations
11.
Wang, Chaofan, et al.. (2022). Ensemble Graph Attention Networks. Transactions on Machine Learning and Artificial Intelligence. 10(3). 29–41. 1 indexed citations
12.
Wang, Chaofan, et al.. (2022). Understanding How to Administer Voice Surveys through Smart Speakers. Proceedings of the ACM on Human-Computer Interaction. 6(CSCW2). 1–32. 6 indexed citations
13.
Wang, Chaofan, Weiwei Jiang, Kangning Yang, et al.. (2021). Electronic Monitoring Systems for Hand Hygiene: Systematic Review of Technology. Journal of Medical Internet Research. 23(11). e27880–e27880. 33 indexed citations
14.
Wang, Chaofan, et al.. (2020). Accurate Measurement of Handwash Quality Using Sensor Armbands: Instrument Validation Study. JMIR mhealth and uhealth. 8(3). e17001–e17001. 23 indexed citations
15.
Yu, Difeng, Weiwei Jiang, Chaofan Wang, et al.. (2020). ShadowDancXR: Body Gesture Digitization for Low-cost Extended Reality (XR) Headsets. 79–80. 3 indexed citations
16.
Zhang, Wenxiu, et al.. (2020). Review and Prospect of Modeling and optimization of Integrated Energy System. 888–896. 3 indexed citations
17.
Yang, Kangning, Chaofan Wang, Zhanna Sarsenbayeva, et al.. (2020). Benchmarking commercial emotion detection systems using realistic distortions of facial image datasets. The Visual Computer. 37(6). 1447–1466. 39 indexed citations
18.
Wang, Chaofan, Zhanna Sarsenbayeva, Chu Luo, Jorge Gonçalves, & Vassilis Kostakos. (2019). Improving wearable sensor data quality using context markers. 598–601. 10 indexed citations
19.
Zhou, Qiushi, Joshua Newn, Benjamin Tag, et al.. (2019). Ubiquitous smart eyewear interactions using implicit sensing and unobtrusive information output. 661–666. 3 indexed citations
20.
Wang, Chaofan, et al.. (2010). Pavement core sample image acquisition system based on line-scan camera. 2010 3rd International Congress on Image and Signal Processing. 27. 2614–2618. 1 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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