Quan Kong

499 total citations
32 papers, 239 citations indexed

About

Quan Kong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Quan Kong has authored 32 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Quan Kong's work include Human Pose and Action Recognition (12 papers), Anomaly Detection Techniques and Applications (7 papers) and Context-Aware Activity Recognition Systems (6 papers). Quan Kong is often cited by papers focused on Human Pose and Action Recognition (12 papers), Anomaly Detection Techniques and Applications (7 papers) and Context-Aware Activity Recognition Systems (6 papers). Quan Kong collaborates with scholars based in Japan, China and France. Quan Kong's co-authors include Tomokazu MURAKAMI, Bin Tong, Takuya Maekawa, Ziming Wu, Ning An, Lifei Zhang, Jingyu Yu, Jingyu Yu, Takayuki Suyama and Lorenzo Garattoni and has published in prestigious journals such as Journal of Cleaner Production, IEEE Access and Computer Vision and Image Understanding.

In The Last Decade

Quan Kong

25 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quan Kong Japan 10 129 95 36 33 31 32 239
H M Sajjad Hossain United States 9 207 1.6× 125 1.3× 54 1.5× 52 1.6× 36 1.2× 16 308
Samuel Lukas Indonesia 7 98 0.8× 39 0.4× 30 0.8× 54 1.6× 11 0.4× 41 281
Sreenivasan Ramasamy Ramamurthy United States 8 229 1.8× 94 1.0× 63 1.8× 37 1.1× 84 2.7× 20 349
Hiroki Ohashi Japan 9 167 1.3× 113 1.2× 19 0.5× 39 1.2× 10 0.3× 22 285
Junliang Chen China 9 113 0.9× 111 1.2× 17 0.5× 22 0.7× 16 0.5× 30 273
Mohsin Ali Memon Pakistan 9 50 0.4× 92 1.0× 51 1.4× 29 0.9× 16 0.5× 38 267
Pratik Kanani India 8 66 0.5× 69 0.7× 37 1.0× 29 0.9× 23 0.7× 42 268
Md Abdullah Al Hafiz Khan United States 12 261 2.0× 174 1.8× 60 1.7× 85 2.6× 77 2.5× 32 405
Sudeshna Chakraborty India 9 89 0.7× 64 0.7× 34 0.9× 28 0.8× 7 0.2× 26 261
Fang Zhou China 10 51 0.4× 119 1.3× 72 2.0× 17 0.5× 17 0.5× 40 308

Countries citing papers authored by Quan Kong

Since Specialization
Citations

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

Fields of papers citing papers by Quan Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Kong. A scholar is included among the top collaborators of Quan Kong 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 Quan Kong. Quan Kong 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
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He, Peng, et al.. (2025). Pancreas Segmentation Based on Multi‐Stage Attention Enhanced U‐Net. International Journal of Imaging Systems and Technology. 35(1). 1 indexed citations
4.
Shiba, Shintaro, et al.. (2025). Augmented Reality Applications using Active Markers with an Event Camera. 4887–4888. 1 indexed citations
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Kong, Quan, et al.. (2025). E-VLC: A Real-World Dataset for Event-Based Visible Light Communication and Localization. 4877–4886. 1 indexed citations
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Dai, Rui, et al.. (2024). Human-Scene Network: A novel baseline with self-rectifying loss for weakly supervised video anomaly detection. Computer Vision and Image Understanding. 241. 103955–103955. 10 indexed citations
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Cheng, Haobo, et al.. (2024). Research on harmonious design of chairs based on the Kano model and analytic hierarchy process. BioResources. 19(3). 5535–5548. 3 indexed citations
10.
Zhang, Lifei, et al.. (2023). An evaluation of the economic benefits of rooftop distributed photovoltaic projects in the whole county in China. Journal of Cleaner Production. 432. 139744–139744. 19 indexed citations
11.
Yang, Di, Yaohui Wang, Quan Kong, et al.. (2023). Self-Supervised Video Representation Learning via Latent Time Navigation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 3118–3126. 2 indexed citations
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Ito, Yoshiki, et al.. (2021). Multi-Stream Adaptive Graph Convolutional Network Using Inter- and Intra-Body Graphs for Two-Person Interaction Recognition. IEEE Access. 9. 110670–110682. 6 indexed citations
14.
Kong, Quan, et al.. (2020). Anticipating the Start of User Interaction for Service Robot in the Wild. 9687–9693. 3 indexed citations
15.
Le, Duy-Dinh, Quan Kong, Vinh-Tiep Nguyen, et al.. (2019). NII Hitachi UIT at TRECVID 2019.. TRECVID.
16.
Kong, Quan, et al.. (2019). Towards Efficient Instance Segmentation with Hierarchical Distillation. 3243–3249. 2 indexed citations
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Kong, Quan, et al.. (2013). Detecting and correcting WiFi positioning errors. 777–786. 12 indexed citations
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Kong, Quan & Takuya Maekawa. (2013). Sharing training data among different activity classes. 2004. 701–712. 4 indexed citations
20.
Kong, Quan & Takuya Maekawa. (2013). Reusing training data with generative/discriminative hybrid model for practical acceleration-based activity recognition. Computing. 96(9). 875–895. 2 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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