Shu Kong

2.4k total citations
53 papers, 821 citations indexed

About

Shu Kong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Shu Kong has authored 53 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 6 papers in Molecular Biology. Recurrent topics in Shu Kong's work include Domain Adaptation and Few-Shot Learning (10 papers), Face and Expression Recognition (9 papers) and Multimodal Machine Learning Applications (6 papers). Shu Kong is often cited by papers focused on Domain Adaptation and Few-Shot Learning (10 papers), Face and Expression Recognition (9 papers) and Multimodal Machine Learning Applications (6 papers). Shu Kong collaborates with scholars based in China, United States and Macao. Shu Kong's co-authors include Charless C. Fowlkes, Donghui Wang, Deva Ramanan, Yu-Xiong Wang, Donghui Wang, Surangi W. Punyasena, Carlos Jaramillo, Michael A. Urban, Daeyun Shin and Francisca E. Oboh‐Ikuenobe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of The Electrochemical Society.

In The Last Decade

Shu Kong

43 papers receiving 806 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shu Kong China	14	496	294	87	55	51	53	821
Carolina Galleguillos Chile	14	1.0k 2.1×	252 0.9×	154 1.8×	81 1.5×	34 0.7×	21	1.5k
Tianjiang Wang China	15	670 1.4×	272 0.9×	142 1.6×	43 0.8×	76 1.5×	85	1.0k
Tsung‐Yu Lin United States	9	1.3k 2.7×	679 2.3×	218 2.5×	30 0.5×	130 2.5×	13	2.0k
Engin Türetken Switzerland	13	961 1.9×	258 0.9×	130 1.5×	46 0.8×	123 2.4×	29	1.3k
Shaoli Huang China	17	972 2.0×	557 1.9×	72 0.8×	22 0.4×	72 1.4×	54	1.2k
Jenny Yuen United States	7	1.4k 2.9×	188 0.6×	225 2.6×	37 0.7×	62 1.2×	10	1.9k
Jesús Salido Spain	13	477 1.0×	166 0.6×	116 1.3×	64 1.2×	58 1.1×	30	863
J. M. H. du Buf Portugal	20	917 1.8×	139 0.5×	232 2.7×	109 2.0×	45 0.9×	81	1.6k
Yan Qiu Chen China	21	673 1.4×	166 0.6×	123 1.4×	41 0.7×	30 0.6×	66	1.1k
Jian-Gang Wang Singapore	19	758 1.5×	135 0.5×	115 1.3×	10 0.2×	59 1.2×	71	1.3k

Countries citing papers authored by Shu Kong

Since Specialization

Citations

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

Fields of papers citing papers by Shu Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Kong. A scholar is included among the top collaborators of Shu 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 Shu Kong. Shu Kong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kong, Shu, et al.. (2025). Referring Expression Comprehension in semi-structured human–robot interaction. Expert Systems with Applications. 275. 126965–126965.

Kong, Shu, et al.. (2025). Addressing the “open world”: detecting and segmenting pollen on palynological slides with deep learning. Paleobiology. 51(3). 394–407.

Kong, Shu, et al.. (2024). Revisiting Few-Shot Object Detection with Vision-Language Models. 19547–19560.

Liu, Tian, et al.. (2024). The Neglected Tails in Vision-Language Models. 12988–12997. 9 indexed citations

Lin, Zhiqiu, et al.. (2023). Prompting Scientific Names for Zero-Shot Species Recognition. 9856–9861. 5 indexed citations

Kong, Shu, et al.. (2023). DEEP LEARNING APPROACHES TO THE PHYLOGENETIC PLACEMENT OF EXTINCT POLLEN MORPHOTYPES. Abstracts with programs - Geological Society of America. 1 indexed citations

Ferroni, Francesco, et al.. (2023). Far3Det: Towards Far-Field 3D Detection. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 692–701. 2 indexed citations

Kong, Shu, et al.. (2023). Deep learning approaches to the phylogenetic placement of extinct pollen morphotypes. PNAS Nexus. 3(1). pgad419–pgad419. 7 indexed citations

Chen, Wei, Miaomiao Wang, Shu Kong, et al.. (2023). Label-Free Detection of CA19-9 Using a BSA/Graphene-Based Antifouling Electrochemical Immunosensor. Sensors. 23(24). 9693–9693. 7 indexed citations

10.

Kong, Shu, et al.. (2023). Creating a Forensic Database of Shoeprints from Online Shoe-Tread Photos. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 858–868. 3 indexed citations

11.

Punyasena, Surangi W., et al.. (2022). Automated identification of diverse Neotropical pollen samples using convolutional neural networks. Methods in Ecology and Evolution. 13(9). 2049–2064. 14 indexed citations

12.

Chen, Wei, et al.. (2022). 2D Carbon Nitride-Based Electrochemical Aptasensor for Label-Free and Highly-Sensitive Detection of Okadaic Acid in Shellfish. Journal of The Electrochemical Society. 169(5). 57526–57526. 2 indexed citations

13.

Kong, Shu, et al.. (2021). Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias. 15754–15763. 14 indexed citations

14.

Kong, Shu & Charless C. Fowlkes. (2019). Pixel-Wise Attentional Gating for Scene Parsing. 1024–1033. 27 indexed citations

15.

Kong, Shu, et al.. (2014). Saliency Detection within a Deep Convolutional Architecture. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 20 indexed citations

16.

Kong, Shu & Donghui Wang. (2013). Learning individual-specific dictionaries with fused multiple features for face recognition. 27. 1–8. 4 indexed citations

17.

Kong, Shu. (2009). Clinical study on treatment of polycystic ovary syndrome with nuangongzhongzi recipe. 2 indexed citations

18.

Yang, Zhao, et al.. (2007). Study for relevance of the acute myocardial ischemia to arrhythmia by the optical mapping method. Physiological Measurement. 28(5). 481–488. 13 indexed citations

19.

Zhang, Hu, et al.. (2007). Prediction of Shear Damage of Plasmid DNA in Pump and Centrifuge Operations Using an Ultra Scale-Down Device. Biotechnology Progress. 23(4). 858–865. 19 indexed citations

20.

Kong, Shu. (2004). Application of Field Programmable Analog Array AN10E40. Modern Electronic Technique.

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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