Yao Tang

972 total citations
26 papers, 619 citations indexed

About

Yao Tang is a scholar working on Molecular Biology, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Yao Tang has authored 26 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Signal Processing and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Yao Tang's work include Biometric Identification and Security (5 papers), Machine Fault Diagnosis Techniques (5 papers) and Machine Learning in Bioinformatics (3 papers). Yao Tang is often cited by papers focused on Biometric Identification and Security (5 papers), Machine Fault Diagnosis Techniques (5 papers) and Machine Learning in Bioinformatics (3 papers). Yao Tang collaborates with scholars based in China, Hong Kong and United Kingdom. Yao Tang's co-authors include Jufu Feng, Zhuo Long, Xiaofei Zhang, Shoudao Huang, Yuhang Liu, Guojun Qin, Dianyi Song, Michael Carney, Daniel Shapiro and Haidong Shao and has published in prestigious journals such as The Journal of Organic Chemistry, Computers & Education and Pattern Recognition.

In The Last Decade

Yao Tang

26 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yao Tang China 13 192 161 143 85 64 26 619
Yi‐Cheng Chen Taiwan 13 28 0.1× 81 0.5× 74 0.5× 60 0.7× 32 0.5× 47 656
Durgaprasad Gangodkar India 13 28 0.1× 30 0.2× 126 0.9× 25 0.3× 52 0.8× 100 582
George Stamoulis Greece 16 30 0.2× 47 0.3× 62 0.4× 21 0.2× 337 5.3× 105 921
Jinan Zhang United States 14 356 1.9× 53 0.3× 10 0.1× 15 0.2× 275 4.3× 35 583
Bing Yu China 18 203 1.1× 9 0.1× 34 0.2× 111 1.3× 237 3.7× 87 907
Peter Sommer United Kingdom 13 25 0.1× 201 1.2× 96 0.7× 83 1.0× 69 1.1× 47 614
Sajid Ullah Khan Pakistan 11 15 0.1× 27 0.2× 90 0.6× 31 0.4× 37 0.6× 38 478
Jaemin Cho South Korea 15 30 0.2× 11 0.1× 262 1.8× 39 0.5× 161 2.5× 37 832

Countries citing papers authored by Yao Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yao Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Tang

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

All Works

20 of 20 papers shown
1.
Tang, Yao, Wei Liu, K. T. Chau, Yunhe Hou, & Jian Guo. (2025). Stochastic Behavior Modeling and Optimal Bidirectional Charging Station Deployment in EV Energy Network. IEEE Transactions on Intelligent Transportation Systems. 26(5). 6231–6247. 2 indexed citations
2.
Tian, Xiaoyang, Wei Liu, Yao Tang, & Stefan M. Goetz. (2025). Linking Electric Vehicle Traffic and the Stationary Power System: Technology Needs and Economical Aspects. IEEE Industrial Electronics Magazine. 19(2). 25–38. 2 indexed citations
3.
Tang, Yao, Yunfan Zhang, Weiqiang Wu, et al.. (2024). Variations in the alveolar bone morphology in maxillary molar area: a retrospective CBCT study. BMC Oral Health. 24(1). 872–872. 1 indexed citations
4.
Lu, Siyuan, Ziquan Zhu, Yao Tang, Xin Zhang, & Xingxiang Liu. (2024). CTBViT: A novel ViT for tuberculosis classification with efficient block and randomized classifier. Biomedical Signal Processing and Control. 100. 106981–106981. 30 indexed citations
5.
Tang, Yao, Weiqiang Wu, Qiannan Sun, et al.. (2023). Alveolar bone morphology in patients with palatally‐displaced maxillary lateral incisors before and after orthodontic treatment: A cone‐beam computed tomography study. Orthodontics and Craniofacial Research. 27(1). 55–63. 1 indexed citations
6.
Tang, Yao, et al.. (2022). Time Series Prediction of Energy Consumption in Marine Ranching Based on GAN and LSTM. 27. 347–352. 1 indexed citations
7.
Long, Zhuo, Xiaofei Zhang, Min He, et al.. (2021). Motor Fault Diagnosis Based on Scale Invariant Image Features. IEEE Transactions on Industrial Informatics. 18(3). 1605–1617. 48 indexed citations
8.
Tang, Yao, Xiaofei Zhang, Yujia Zhai, et al.. (2021). Rotating Machine Systems Fault Diagnosis Using Semisupervised Conditional Random Field-Based Graph Attention Network. IEEE Transactions on Instrumentation and Measurement. 70. 1–10. 44 indexed citations
9.
Tang, Yao, Xiaofei Zhang, Guojun Qin, et al.. (2021). Graph Cardinality Preserved Attention Network for Fault Diagnosis of Induction Motor Under Varying Speed and Load Condition. IEEE Transactions on Industrial Informatics. 18(6). 3702–3712. 43 indexed citations
10.
Long, Zhuo, et al.. (2021). Motor Fault Diagnosis Using Image Visual Information and Bag of Words Model. IEEE Sensors Journal. 21(19). 21798–21807. 25 indexed citations
11.
Li, Li, et al.. (2020). Measuring China's monetary policy uncertainty and its impact on the real economy. Emerging Markets Review. 44. 100714–100714. 23 indexed citations
12.
Wang, Zhiqiang, et al.. (2018). Large-scale Malware Automatic Detection Based On Multiclass Features and Machine Learning. 2017. 1–5. 1 indexed citations
13.
Song, Dehua, Yao Tang, & Jufu Feng. (2017). Fingerprint Indexing Based on Minutia-Centred Deep Convolutional Features. 25. 770–775. 3 indexed citations
14.
Tang, Yao, et al.. (2017). Combined Di-tert-butyl Peroxide and Inorganic Base Promoted α-Alkylation of Ethers with Arenesulfonylindoles. The Journal of Organic Chemistry. 82(10). 5441–5448. 6 indexed citations
15.
Tang, Yao, et al.. (2017). FingerNet: An unified deep network for fingerprint minutiae extraction. 108–116. 110 indexed citations
16.
Tang, Yao, Fei Gao, & Jufu Feng. (2017). Latent fingerprint minutia extraction using fully convolutional network. 117–123. 27 indexed citations
17.
Zuo, Qingsong, et al.. (2011). Nitrogen Accumulation and Distribution in Rapeseed with Different Nitrogen Utilization Efficiencies for Grain Production. Acta Agronomica Sinica. 37(10). 1852–1859. 2 indexed citations
18.
Zhang, Wenping, Bisong Yue, Xiaofang Wang, et al.. (2010). Analysis of variable sites between two complete South China tiger (Panthera tigris amoyensis) mitochondrial genomes. Molecular Biology Reports. 38(7). 4257–4264. 11 indexed citations
19.
Carney, Michael, Daniel Shapiro, & Yao Tang. (2009). Business Group Performance in China: Ownership and Temporal Considerations. Management and Organization Review. 5(2). 167–193. 61 indexed citations
20.
Shi, Jianfei, et al.. (2006). Studies on Source and Sink of Rapeseed III.Effect of Sink Change on Seed Weight in Rapeseed. Jiangsu nongye xuebao. 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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