Shaohua Tan

511 total citations
11 papers, 65 citations indexed

About

Shaohua Tan is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shaohua Tan has authored 11 papers receiving a total of 65 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Control and Systems Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shaohua Tan's work include Neural Networks and Applications (4 papers), Bayesian Modeling and Causal Inference (2 papers) and Face and Expression Recognition (2 papers). Shaohua Tan is often cited by papers focused on Neural Networks and Applications (4 papers), Bayesian Modeling and Causal Inference (2 papers) and Face and Expression Recognition (2 papers). Shaohua Tan collaborates with scholars based in China, Singapore and Belgium. Shaohua Tan's co-authors include Chang-Chieh Hang, Peizhuang Wang, Xinghu Zhang, Yunhai Tong, Xinhai Liu, Wolfgang Glänzel, Xiangfeng Meng, Jianjun Yang, Yi Yu and Yanping Zhao and has published in prestigious journals such as Scientometrics, Infection and Drug Resistance and Neural Regeneration Research.

In The Last Decade

Shaohua Tan

10 papers receiving 60 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shaohua Tan China	4	48	15	12	8	7	11	65
Henryk Michalewski Poland	5	47 1.0×	6 0.4×	14 1.2×	17 2.1×	2 0.3×	22	103
Benoît Fraikin Canada	4	28 0.6×	7 0.5×	24 2.0×	11 1.4×	24 3.4×	10	58
Johannes Oetsch Austria	6	63 1.3×	4 0.3×	6 0.5×	15 1.9×	8 1.1×	22	89
Bangsheng Tang China	4	32 0.7×	2 0.1×	17 1.4×	23 2.9×	8 1.1×	9	68
Kien Do Australia	5	52 1.1×	4 0.3×	22 1.8×	3 0.4×	12 1.7×	13	65
Prasoon Goyal India	4	81 1.7×	7 0.5×	56 4.7×	7 0.9×	8 1.1×	7	116
Sumith Kulal United States	4	21 0.4×	8 0.5×	18 1.5×	9 1.1×	5 0.7×	7	43
Chinnadhurai Sankar United States	6	129 2.7×	3 0.2×	30 2.5×	3 0.4×	5 0.7×	9	155
Yanshuai Cao Canada	6	107 2.2×	5 0.3×	39 3.3×	6 0.8×	2 0.3×	13	135
Ruitong Huang Canada	7	99 2.1×	8 0.5×	33 2.8×	3 0.4×	3 0.4×	15	124

Countries citing papers authored by Shaohua Tan

Since Specialization

Citations

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

Fields of papers citing papers by Shaohua Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohua Tan

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

All Works

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11 of 11 papers shown

1.

Tan, Shaohua, et al.. (2024). Genomic Insights into the First Emergence of blaNDM-5-Carrying Carbapenem-Resistant Salmonella enterica Serovar London Strain in China. Infection and Drug Resistance. Volume 17. 1781–1790. 3 indexed citations

2.

Misrani, Afzal, Sidra Tabassum, Jinxiang Jiang, et al.. (2023). Vibration-reduced anxiety-like behavior relies on ameliorating abnormalities of the somatosensory cortex and medial prefrontal cortex. Neural Regeneration Research. 19(6). 1351–1359. 4 indexed citations

3.

Tong, Yunhai, et al.. (2016). Improved IAMB with Expanded Markov Blanket for High‐Dimensional Time Series Prediction. Chinese Journal of Electronics. 25(2). 264–269. 2 indexed citations

4.

Meng, Xiangfeng, et al.. (2016). A novel dynamic community detection algorithm based on modularity optimization. 72–75. 2 indexed citations

5.

Meng, Xiangfeng, Xinhai Liu, Yunhai Tong, Wolfgang Glänzel, & Shaohua Tan. (2015). Multi-view clustering with exemplars for scientific mapping. Scientometrics. 105(3). 1527–1552. 8 indexed citations

6.

Yang, Jianjun, et al.. (2014). Efficient and effective Bayesian network local structure learning. Frontiers of Computer Science. 8(4). 527–536. 1 indexed citations

7.

Tan, Shaohua, et al.. (2010). A novel approach to qualitative evaluation. 30. 808–815. 1 indexed citations

8.

Tong, Yunhai, et al.. (2007). An Adaptive Approach to Schema Classification for Data Warehouse Modeling. Journal of Computer Science and Technology. 22(2). 252–260. 1 indexed citations

9.

Tan, Shaohua, et al.. (2003). Hybrid control of nonlinear dynamical systems using neural nets and conventional control schemes. 2. 805–810.

10.

Zhang, Xinghu, Chang-Chieh Hang, Shaohua Tan, & Peizhuang Wang. (1996). The min-max function differentiation and training of fuzzy neural networks. IEEE Transactions on Neural Networks. 7(5). 1139–1150. 41 indexed citations

11.

Tan, Shaohua & Yi Yu. (1994). On-line stable nonlinear modelling by structurally adaptive neural nets. 370–375 vol.1. 2 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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