John See

4.8k total citations
121 papers, 2.4k citations indexed

About

John See is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, John See has authored 121 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Computer Vision and Pattern Recognition, 29 papers in Experimental and Cognitive Psychology and 28 papers in Artificial Intelligence. Recurrent topics in John See's work include Emotion and Mood Recognition (28 papers), Face and Expression Recognition (25 papers) and Human Pose and Action Recognition (25 papers). John See is often cited by papers focused on Emotion and Mood Recognition (28 papers), Face and Expression Recognition (25 papers) and Human Pose and Action Recognition (25 papers). John See collaborates with scholars based in Malaysia, China and United Kingdom. John See's co-authors include Raphaël C.‐W. Phan, Weiyao Lin, Sze‐Teng Liong, KokSheik Wong, Anh Cat Le Ngo, Yandan Wang, Huai-Qian Khor, Yee-Hui Oh, Vishnu Monn Baskaran and Wenbin Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

John See

110 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John See Malaysia 27 1.7k 1.0k 612 325 264 121 2.4k
Tomas Pfister United States 17 1.7k 1.0× 740 0.7× 1.3k 2.1× 397 1.2× 231 0.9× 52 3.0k
Xiaojiang Peng China 23 2.3k 1.4× 1.1k 1.1× 874 1.4× 283 0.9× 213 0.8× 81 2.9k
Irene Kotsia United Kingdom 20 2.5k 1.5× 1.4k 1.4× 567 0.9× 174 0.5× 834 3.2× 43 3.5k
Qirong Mao China 27 1.2k 0.7× 1.3k 1.3× 1.1k 1.7× 121 0.4× 988 3.7× 120 2.7k
Thiago Oliveira-Santos Brazil 19 1.0k 0.6× 488 0.5× 355 0.6× 82 0.3× 102 0.4× 75 1.7k
Yaser Yacoob United States 22 2.3k 1.4× 531 0.5× 380 0.6× 391 1.2× 236 0.9× 51 2.7k
Edilson de Aguiar Germany 20 1.8k 1.1× 432 0.4× 163 0.3× 137 0.4× 75 0.3× 52 2.3k
Qiang Ji United States 16 606 0.4× 232 0.2× 281 0.5× 349 1.1× 102 0.4× 70 1.3k
Luefeng Chen China 25 459 0.3× 562 0.6× 466 0.8× 100 0.3× 159 0.6× 129 1.8k
Mohamed Daoudi France 28 2.2k 1.3× 299 0.3× 305 0.5× 259 0.8× 350 1.3× 125 2.7k

Countries citing papers authored by John See

Since Specialization
Citations

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

Fields of papers citing papers by John See

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John See

This figure shows the co-authorship network connecting the top 25 collaborators of John See. A scholar is included among the top collaborators of John See 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 John See. John See 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.
2.
Fan, Xinqi, Jingting Li, John See, et al.. (2025). MEGC2025: Micro-Expression Grand Challenge on Spot Then Recognize and Visual Question Answering. Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences). 13951–13956.
3.
4.
See, John, Jingting Li, Adrian K. Davison, et al.. (2024). MEGC2024: ACM Multimedia 2024 Facial Micro-Expression Grand Challenge. 11482–11483. 1 indexed citations
5.
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Liong, Sze‐Teng, et al.. (2023). SFAMNet: A scene flow attention-based micro-expression network. Neurocomputing. 566. 126998–126998. 5 indexed citations
7.
See, John, et al.. (2023). EmoStory: Emotion Prediction and Mapping in Narrative Stories. SHILAP Revista de lepidopterología. 7(3-2). 2048–2048.
8.
See, John, et al.. (2022). Spot-then-Recognize: A Micro-Expression Analysis Network for Seamless Evaluation of Long Videos. Signal Processing Image Communication. 110. 116875–116875. 9 indexed citations
9.
Sang, Liang, et al.. (2022). BlumNet: Graph Component Detection for Object Skeleton Extraction. Proceedings of the 30th ACM International Conference on Multimedia. 5527–5536. 5 indexed citations
10.
Hidayati, Shintami Chusnul, Cheng-Chun Hsu, John See, et al.. (2020). Dress With Style: Learning Style From Joint Deep Embedding of Clothing Styles and Body Shapes. IEEE Transactions on Multimedia. 23. 365–377. 41 indexed citations
11.
Li, Yuxi, Ning Xu, Jinlong Peng, John See, & Weiyao Lin. (2020). Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation. Neural Information Processing Systems. 33. 1218–1228. 5 indexed citations
12.
AlDahoul, Nouar, et al.. (2020). Transfer Detection of YOLO to Focus CNN’s Attention on Nude Regions for Adult Content Detection. Symmetry. 13(1). 26–26. 20 indexed citations
13.
Mansor, Sarina, et al.. (2019). Automated Nudity Recognition using Very Deep Residual Learning Network. International Journal of Recent Technology and Engineering (IJRTE). 8(3S). 136–141. 2 indexed citations
14.
Karim, Hezerul Abdul, et al.. (2019). Acoustic Pornography Recognition using Fused Pitch and Mel-Frequency Cepstrum Coefficients. SHILAP Revista de lepidopterología. 10(7). 1335–1335. 5 indexed citations
15.
Fauzi, Mohammad Faizal Ahmad, et al.. (2018). Semantic facial scores and compact deep transferred descriptors for scalable face image retrieval. Neurocomputing. 308. 111–128. 2 indexed citations
16.
Li, Jing, Yandan Wang, John See, & Wenbin Liu. (2018). Micro-expression recognition based on 3D flow convolutional neural network. Pattern Analysis and Applications. 22(4). 1331–1339. 119 indexed citations
17.
Yap, Moi Hoon, John See, Xiaopeng Hong, & Sujing Wang. (2018). Facial Micro-Expressions Grand Challenge 2018 Summary. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 675–678. 39 indexed citations
18.
See, John, et al.. (2015). Human Motion Detection Using Fuzzy Rule-base Classification Of Moving Blob Regions. 1 indexed citations
19.
See, John, et al.. (2015). On the Effects of Low Video Quality in Human Action Recognition. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 1–8. 7 indexed citations
20.
See, John. (1992). Ten Criteria for Effective Technology Plans.. ˜The œComputing teacher. 19(8). 34–35. 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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