Yinglong Wang

583 total citations
11 papers, 270 citations indexed

About

Yinglong Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Networks and Communications. According to data from OpenAlex, Yinglong Wang has authored 11 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 4 papers in Media Technology and 1 paper in Computer Networks and Communications. Recurrent topics in Yinglong Wang's work include Image Enhancement Techniques (9 papers), Advanced Image Processing Techniques (6 papers) and Advanced Image Fusion Techniques (4 papers). Yinglong Wang is often cited by papers focused on Image Enhancement Techniques (9 papers), Advanced Image Processing Techniques (6 papers) and Advanced Image Fusion Techniques (4 papers). Yinglong Wang collaborates with scholars based in China, Sweden and Hong Kong. Yinglong Wang's co-authors include Bing Zeng, Shuaicheng Liu, Chen Chen, Chao Ma, Jianzhuang Liu, Songcen Xu, Dong Gong, Qinfeng Shi, Shuyuan Zhu and Jie Yang and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and IEEE Transactions on Computers.

In The Last Decade

Yinglong Wang

9 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yinglong Wang China	7	253	99	23	16	11	11	270
Hao-Hsiang Yang Taiwan	8	276 1.1×	117 1.2×	29 1.3×	16 1.0×	8 0.7×	15	325
Ruoteng Li Singapore	4	229 0.9×	75 0.8×	9 0.4×	10 0.6×	6 0.5×	4	250
Iago Breno Araujo Brazil	2	277 1.1×	98 1.0×	19 0.8×	12 0.8×	5 0.5×	3	289
Zeyuan Chen China	6	274 1.1×	116 1.2×	26 1.1×	6 0.4×	4 0.4×	7	328
Erkang Chen China	10	253 1.0×	91 0.9×	13 0.6×	14 0.9×	6 0.5×	30	306
Yuanbo Wen China	8	194 0.8×	109 1.1×	12 0.5×	5 0.3×	5 0.5×	23	245
Yeying Jin Singapore	6	138 0.5×	56 0.6×	4 0.2×	10 0.6×	6 0.5×	12	175
Kangfu Mei United States	6	202 0.8×	86 0.9×	2 0.1×	9 0.6×	7 0.6×	12	244
Aldo Maalouf France	6	132 0.5×	130 1.3×	3 0.1×	3 0.2×	18 1.6×	16	205
Runde Li China	4	368 1.5×	180 1.8×	32 1.4×	8 0.5×	3 0.3×	5	376

Countries citing papers authored by Yinglong Wang

Since Specialization

Citations

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

Fields of papers citing papers by Yinglong Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinglong Wang

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

11 of 11 papers shown

1.

Dong, Xiaodong, et al.. (2025). Viper: Priority-Based High-Visibility Per-Flow Packet Sampling for SDNs. IEEE Transactions on Computers. 75(3). 802–816.

2.

Wang, Yinglong, Chao Ma, & Jianzhuang Liu. (2023). SmartAssign:Learning A Smart Knowledge Assignment Strategy for Deraining and Desnowing. 3677–3686. 10 indexed citations

3.

Wang, Yinglong, et al.. (2023). Low-Light Image Enhancement with Illumination-Aware Gamma Correction and Complete Image Modelling Network. 13082–13091. 20 indexed citations

4.

Wang, Yinglong, Chao Ma, & Bing Zeng. (2021). Multi-Decoding Deraining Network and Quasi-Sparsity Based Training. 13370–13379. 29 indexed citations

5.

Wang, Yinglong, et al.. (2020). Removing Rain Streaks by a Linear Model. IEEE Access. 8. 54802–54815. 8 indexed citations

6.

Wang, Yinglong, Dong Gong, Jie Yang, et al.. (2020). Deep Single Image Deraining via Modeling Haze-Like Effect. IEEE Transactions on Multimedia. 23. 2481–2492. 22 indexed citations

7.

Liu, Shuaicheng, et al.. (2019). View-Consistent Intrinsic Decomposition for Stereoscopic Images. IEEE Access. 7. 140355–140366. 1 indexed citations

8.

Wang, Yinglong, Shuaicheng Liu, Chen Chen, & Bing Zeng. (2017). A Hierarchical Approach for Rain or Snow Removing in a Single Color Image. IEEE Transactions on Image Processing. 26(8). 3936–3950. 166 indexed citations

9.

Wang, Yinglong, Chen Chen, Shuyuan Zhu, & Bing Zeng. (2016). A framework of single-image deraining method based on analysis of rain characteristics. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4087–4091. 12 indexed citations

10.

Jiang, Yunzhi, et al.. (2015). Multi-threshold image segmentation using histogram thresholding-Bayesian honey bee mating algorithm. 13. 2729–2736. 2 indexed citations

11.

Li, Hengjian, Jizhi Wang, Yinglong Wang, & Jiashu Zhang. (2010). Effects of image lossy compression on palmprint verification performance. 5. 1155–1159.

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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