Ping Hu

1.0k total citations
38 papers, 634 citations indexed

About

Ping Hu is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Ping Hu has authored 38 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Information Systems and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Ping Hu's work include Complex Network Analysis Techniques (6 papers), Digital Marketing and Social Media (5 papers) and Visual Attention and Saliency Detection (3 papers). Ping Hu is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Digital Marketing and Social Media (5 papers) and Visual Attention and Saliency Detection (3 papers). Ping Hu collaborates with scholars based in China, United States and Hong Kong. Ping Hu's co-authors include Juan Shi, Gang Chen, Jun Liu, Bing Shuai, Gang Wang, Kin Keung Lai, Shandong Wang, Anbang Yao, Dongqi Cai and Yurong Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Transactions on Image Processing.

In The Last Decade

Ping Hu

37 papers receiving 612 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ping Hu China	11	244	155	109	83	83	38	634
Jacopo Staiano Italy	17	221 0.9×	244 1.6×	198 1.8×	20 0.2×	274 3.3×	35	927
Wei Ai China	14	87 0.4×	84 0.5×	70 0.6×	29 0.3×	237 2.9×	45	657
Fanny Chevalier Canada	21	852 3.5×	152 1.0×	58 0.5×	24 0.3×	320 3.9×	65	1.2k
Yashar Moshfeghi United Kingdom	16	140 0.6×	100 0.6×	57 0.5×	45 0.5×	352 4.2×	69	879
Rita Borgo United Kingdom	16	612 2.5×	88 0.6×	74 0.7×	11 0.1×	208 2.5×	52	884
Margit Pohl Austria	13	302 1.2×	91 0.6×	28 0.3×	16 0.2×	158 1.9×	70	505
Souneil Park Spain	11	189 0.8×	155 1.0×	12 0.1×	94 1.1×	125 1.5×	26	602
Deokgun Park United States	8	238 1.0×	59 0.4×	16 0.1×	49 0.6×	163 2.0×	10	407
Ben Steichen United States	12	322 1.3×	66 0.4×	84 0.8×	17 0.2×	204 2.5×	32	581
Marian Dörk Germany	14	699 2.9×	179 1.2×	18 0.2×	49 0.6×	295 3.6×	56	1.1k

Countries citing papers authored by Ping Hu

Since Specialization

Citations

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

Fields of papers citing papers by Ping Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Hu. A scholar is included among the top collaborators of Ping Hu 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 Ping Hu. Ping Hu 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

Schaefer, Douglas, Zhaorui Liu, Huafang Chen, et al.. (2025). Drought Driving Factors as Revealed by Geographic Detector Model and Random Forest in Yunnan, China. Forests. 16(3). 505–505. 4 indexed citations

Duong, Dat, Ping Hu, Behnam Javanmardi, et al.. (2024). Comparison of clinical geneticist and computer visual attention in assessing genetic conditions. PLoS Genetics. 20(2). e1011168–e1011168. 2 indexed citations

Hu, Ping, et al.. (2024). Sparseness and Correntropy-Based Block Diagonal Representation for Robust Subspace Clustering. IEEE Signal Processing Letters. 31. 1154–1158. 1 indexed citations

Krawitz, Peter, Elisabeth André, Susan Persky, et al.. (2024). Approximating facial expression effects on diagnostic accuracy via generative AI in medical genetics. Bioinformatics. 40(Supplement_1). i110–i118. 9 indexed citations

Hu, Ping, Qinxin Zhang, Chunyu Luo, et al.. (2023). Whole genome sequencing vs chromosomal microarray analysis in prenatal diagnosis. American Journal of Obstetrics and Gynecology. 229(3). 302.e1–302.e18. 11 indexed citations

Wang, Zhiwei, Juan Tan, Xinxin Tang, et al.. (2023). [Genetic analysis of a fetus with mosaic trisomy 12 and severe heart defects and a literature review].. PubMed. 40(4). 490–494.

Duong, Dat, Ping Hu, Cedrik Tekendo‐Ngongang, et al.. (2022). Neural Networks for Classification and Image Generation of Aging in Genetic Syndromes. Frontiers in Genetics. 13. 864092–864092. 16 indexed citations

Wang, Samuel & Ping Hu. (2022). Deep Learning for Automated Echocardiogram Analysis. Journal of Student Research. 11(3). 2 indexed citations

Hu, Ping, et al.. (2021). How learning effects influence knowledge contribution in online Q&A community? A social cognitive perspective. Decision Support Systems. 149. 113610–113610. 43 indexed citations

10.

Duong, Dat, Rebekah L. Waikel, Ping Hu, Cedrik Tekendo‐Ngongang, & Benjamin D. Solomon. (2021). Neural network classifiers for images of genetic conditions with cutaneous manifestations. SHILAP Revista de lepidopterología. 3(1). 100053–100053. 11 indexed citations

11.

Hu, Ping, et al.. (2019). The effect of night shift on sleep quality and depressive symptoms among Chinese nurses. SHILAP Revista de lepidopterología. 4 indexed citations

12.

Shi, Juan, Ping Hu, Kin Keung Lai, & Gang Chen. (2018). Determinants of users’ information dissemination behavior on social networking sites. Internet Research. 28(2). 393–418. 113 indexed citations

13.

Hu, Ping. (2018). A classifier of matrix modular neural network to simplify complex classification tasks. Neural Computing and Applications. 32(5). 1367–1377. 3 indexed citations

14.

Hu, Ping, Dongqi Cai, Shandong Wang, Anbang Yao, & Yurong Chen. (2017). Learning supervised scoring ensemble for emotion recognition in the wild. 553–560. 104 indexed citations

15.

Shi, Juan, Kin Keung Lai, Ping Hu, & Gang Chen. (2017). Understanding and predicting individual retweeting behavior: Receiver perspectives. Applied Soft Computing. 60. 844–857. 24 indexed citations

16.

Hu, Ping, Weiqiang Wang, Chi Zhang, & Ke Lü. (2016). Detecting Salient Objects via Color and Texture Compactness Hypotheses. IEEE Transactions on Image Processing. 25(10). 4653–4664. 21 indexed citations

17.

Hu, Ping, Weiqiang Wang, & Ke Lü. (2015). Detecting Salient Objects via Spatial and Appearance Compactness Hypotheses. 1087–1090. 1 indexed citations

18.

Hu, Ping. (2013). The Thought Remolding Campaign of the Chinese Communist Party-State. Amsterdam University Press eBooks. 1 indexed citations

19.

Hu, Ping, et al.. (2009). A 3D Face Coordinate System for Expression-Changed Pose Alignment. 2688. 847–852. 1 indexed citations

20.

Hu, Ping. (2007). Geological and geophysical characteristics of the copper deposit in Kekeqi area and its prospecting perspective. Mineral Resources and Geology. 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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