Gang Sun

13.8k total citations · 1 hit paper
18 papers, 8.6k citations indexed

About

Gang Sun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Plant Science. According to data from OpenAlex, Gang Sun has authored 18 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 4 papers in Plant Science. Recurrent topics in Gang Sun's work include Domain Adaptation and Few-Shot Learning (6 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Advanced Neural Network Applications (3 papers). Gang Sun is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Advanced Neural Network Applications (3 papers). Gang Sun collaborates with scholars based in China, Macao and United Kingdom. Gang Sun's co-authors include Jie Hu, Li Shen, Samuel Albanie, Enhua Wu, Xudong Cao, Yu Qiao, Andrea Vedaldi, Qingming Huang, Shuhui Wang and Li Shen 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

Gang Sun

18 papers receiving 8.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Squeeze-and-Excitation Networks

2019 8.2k citations Jie Hu, Li Shen et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gang Sun China	9	4.9k	2.1k	1.3k	1.0k	726	18	8.6k
Samuel Albanie United Kingdom	14	5.1k 1.0×	2.4k 1.1×	1.2k 1.0×	1.0k 1.0×	670 0.9×	30	9.1k
Enhua Wu China	21	5.8k 1.2×	2.1k 1.0×	1.5k 1.2×	1.0k 1.0×	691 1.0×	198	10.1k
Peihua Li China	29	4.6k 0.9×	1.9k 0.9×	1.2k 1.0×	603 0.6×	559 0.8×	118	8.2k
Li Shen China	9	6.2k 1.2×	2.3k 1.1×	1.3k 1.0×	1.0k 1.0×	685 0.9×	51	10.1k
Hanzi Mao United States	5	3.8k 0.8×	1.9k 0.9×	869 0.7×	866 0.8×	496 0.7×	8	7.8k
Qilong Wang China	21	4.3k 0.9×	1.9k 0.9×	1.2k 0.9×	575 0.6×	521 0.7×	67	7.3k
Wenhai Wang China	17	5.7k 1.1×	2.1k 1.0×	1.6k 1.2×	801 0.8×	503 0.7×	35	8.5k
Zhuang Liu China	16	4.5k 0.9×	2.7k 1.3×	756 0.6×	706 0.7×	423 0.6×	27	7.5k
Dan Cireşan Switzerland	15	3.9k 0.8×	2.9k 1.4×	920 0.7×	1.0k 1.0×	479 0.7×	19	7.8k

Countries citing papers authored by Gang Sun

Since Specialization

Citations

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

Fields of papers citing papers by Gang Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Sun. A scholar is included among the top collaborators of Gang Sun 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 Gang Sun. Gang Sun 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:

18 of 18 papers shown

He, Longxin, Xiong Li, Wang Ping, et al.. (2025). Enhancing food security and farmers’ profit through ratoon rice-potato rotation in central China. European Journal of Agronomy. 168. 127636–127636. 2 indexed citations

Huang, Wenjiang, Yingying Dong, Yanru Huang, et al.. (2025). Temporal analyses of global suitability distribution for fall armyworm based on Multiple factors. Ecological Indicators. 171. 113181–113181. 2 indexed citations

He, Liang, et al.. (2024). PMFFNet: A hybrid network based on feature pyramid for ovarian tumor segmentation. PLoS ONE. 19(4). e0299360–e0299360. 2 indexed citations

Sun, Gang, et al.. (2022). RFIA-Net: Rich CNN-transformer network based on asymmetric fusion feature aggregation to classify stage I multimodality oesophageal cancer images. Engineering Applications of Artificial Intelligence. 118. 105703–105703. 13 indexed citations

Zhang, Xuesong, et al.. (2022). Overcoming language priors in VQA via adding visual module. Neural Computing and Applications. 34(11). 9015–9023. 15 indexed citations

Sun, Gang, et al.. (2021). Efficient Weakly-Supervised Object Detection With Pseudo Annotations. IEEE Access. 9. 104356–104366. 2 indexed citations

Dai, Xianglin, Dali Song, Wei Zhou, et al.. (2020). Partial substitution of chemical nitrogen with organic nitrogen improves rice yield, soil biochemical indictors and microbial composition in a double rice cropping system in south China. Soil and Tillage Research. 205. 104753–104753. 66 indexed citations

Hu, Jie, Li Shen, Samuel Albanie, Gang Sun, & Enhua Wu. (2019). Squeeze-and-Excitation Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(8). 2011–2023. 8158 indexed citations breakdown →

Hu, Jie, Li Shen, Samuel Albanie, Gang Sun, & Andrea Vedaldi. (2018). Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks. Oxford University Research Archive (ORA) (University of Oxford). 31. 9401–9411. 88 indexed citations

10.

Tang, Haiming, et al.. (2018). Impacts of long-term fertilization on the soil microbial communities in double-cropped paddy fields. The Journal of Agricultural Science. 156(7). 857–864. 7 indexed citations

11.

Hu, Jie, et al.. (2016). A Key Volume Mining Deep Framework for Action Recognition. 167 indexed citations

12.

Shen, Li, Gang Sun, Qingming Huang, et al.. (2015). Multi-Level Discriminative Dictionary Learning With Application to Large Scale Image Classification. IEEE Transactions on Image Processing. 24(10). 3109–3123. 43 indexed citations

13.

Sun, Gang, et al.. (2015). Towards a novel image denoising method with edge-preserving sparse representation based on laplacian of B-spline edge-detection. Multimedia Tools and Applications. 76(17). 17839–17854. 11 indexed citations

14.

Sun, Gang, Yanyun Chen, Xuehui Liu, & Enhua Wu. (2015). Adaptive multi-task learning for fine-grained categorization. 996–1000. 4 indexed citations

15.

Sun, Gang, et al.. (2014). A Low Cost 3D Acquiring System for Mushroom Robot Based on Webcam and Line Laser. SHILAP Revista de lepidopterología. 3 indexed citations

16.

Shen, Li, Shuhui Wang, Gang Sun, Shuqiang Jiang, & Qingming Huang. (2013). Multi-level Discriminative Dictionary Learning towards Hierarchical Visual Categorization. 383–390. 40 indexed citations

17.

Sun, Gang, Qinghui Li, & Lin Lü. (2007). MAP algorithm to super-resolution of infrared images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6787. 67870K–67870K. 3 indexed citations

18.

Sun, Gang, et al.. (2002). Preliminary Studies on Soil Animals in a Ragweed Habitat. Europe PMC (PubMed Central). 22(4). 608–611. 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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