Yanhong Wu

445 total citations
10 papers, 243 citations indexed

About

Yanhong Wu is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Signal Processing. According to data from OpenAlex, Yanhong Wu has authored 10 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Statistical and Nonlinear Physics and 4 papers in Signal Processing. Recurrent topics in Yanhong Wu's work include Data Visualization and Analytics (6 papers), Complex Network Analysis Techniques (5 papers) and Data Management and Algorithms (3 papers). Yanhong Wu is often cited by papers focused on Data Visualization and Analytics (6 papers), Complex Network Analysis Techniques (5 papers) and Data Management and Algorithms (3 papers). Yanhong Wu collaborates with scholars based in Hong Kong, China and United States. Yanhong Wu's co-authors include Huamin Qu, Weiwei Cui, Qiaomu Shen, Guowei Huang, Daniel Archambault, Nan Cao, Xun Zhao, Yong Wang, Tongshuang Wu and Yuan Chen and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum and Journal of Intelligent & Fuzzy Systems.

In The Last Decade

Yanhong Wu

10 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yanhong Wu Hong Kong	8	156	102	72	23	21	10	243
Paolo Federico Austria	9	265 1.7×	96 0.9×	47 0.7×	45 2.0×	31 1.5×	18	371
Christine Largeron France	10	87 0.6×	140 1.4×	81 1.1×	28 1.2×	60 2.9×	33	294
Marcel Hlawatsch Germany	11	304 1.9×	63 0.6×	55 0.8×	64 2.8×	23 1.1×	21	402
Helen Gibson United Kingdom	7	98 0.6×	47 0.5×	66 0.9×	20 0.9×	26 1.2×	17	210
Paolo Simonetto United States	9	167 1.1×	66 0.6×	105 1.5×	54 2.3×	13 0.6×	9	245
Tarik Crnovrsanin United States	9	218 1.4×	50 0.5×	108 1.5×	68 3.0×	22 1.0×	24	314
Başak Alper United States	6	248 1.6×	65 0.6×	55 0.8×	64 2.8×	15 0.7×	8	296
Maoyuan Sun United States	11	210 1.3×	117 1.1×	91 1.3×	31 1.3×	16 0.8×	30	284
Sami Abu-El-Haija United States	8	203 1.3×	191 1.9×	38 0.5×	17 0.7×	86 4.1×	13	346
Holger Stitz Austria	9	146 0.9×	72 0.7×	17 0.2×	25 1.1×	43 2.0×	21	226

Countries citing papers authored by Yanhong Wu

Since Specialization

Citations

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

Fields of papers citing papers by Yanhong Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanhong Wu

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

10 of 10 papers shown

1.

Shen, Qiaomu, et al.. (2020). Visual Interpretation of Recurrent Neural Network on Multi-dimensional Time-series Forecast. TU/e Research Portal. 61–70. 19 indexed citations

2.

Wu, Yanhong, et al.. (2020). Encryption of accounting data using DES algorithm in computing environment. Journal of Intelligent & Fuzzy Systems. 39(4). 5085–5095. 19 indexed citations

3.

Wu, Yanhong, et al.. (2018). Segue: Overviewing Evolution Patterns of Egocentric Networks by Interactive Construction of Spatial Layouts. 72–83. 7 indexed citations

4.

Wang, Yong, Conglei Shi, Yanhong Wu, et al.. (2018). Towards Easy Comparison of Local Businesses Using Online Reviews. Computer Graphics Forum. 37(3). 63–74. 10 indexed citations

5.

Zhao, Xun, Yanhong Wu, Weiwei Cui, et al.. (2017). SkyLens: Visual Analysis of Skyline on Multi-Dimensional Data. IEEE Transactions on Visualization and Computer Graphics. 24(1). 246–255. 35 indexed citations

6.

Wu, Yanhong, et al.. (2017). Phase errors compensation algorithm of inverse synthetic aperture ladar based on CS-Fmea. 1313–1317. 3 indexed citations

7.

Wu, Yanhong, Nan Cao, Daniel Archambault, et al.. (2016). Evaluation of Graph Sampling: A Visualization Perspective. IEEE Transactions on Visualization and Computer Graphics. 23(1). 401–410. 43 indexed citations

8.

Shen, Qiaomu, et al.. (2016). NameClarifier: A Visual Analytics System for Author Name Disambiguation. IEEE Transactions on Visualization and Computer Graphics. 23(1). 141–150. 32 indexed citations

9.

Wu, Yanhong, et al.. (2015). Interactive visual summary of major communities in a large network. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 47–54. 7 indexed citations

10.

Wu, Yanhong, et al.. (2015). egoSlider: Visual Analysis of Egocentric Network Evolution. IEEE Transactions on Visualization and Computer Graphics. 22(1). 260–269. 68 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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