Ping Tan

618 total citations
8 papers, 30 citations indexed

About

Ping Tan is a scholar working on Artificial Intelligence, Signal Processing and Pollution. According to data from OpenAlex, Ping Tan has authored 8 papers receiving a total of 30 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Signal Processing and 1 paper in Pollution. Recurrent topics in Ping Tan's work include Speech Recognition and Synthesis (3 papers), Speech and Audio Processing (2 papers) and 3D Shape Modeling and Analysis (1 paper). Ping Tan is often cited by papers focused on Speech Recognition and Synthesis (3 papers), Speech and Audio Processing (2 papers) and 3D Shape Modeling and Analysis (1 paper). Ping Tan collaborates with scholars based in China, Türkiye and United States. Ping Tan's co-authors include Yuanping Chen, Yonghong Xie, Hongwei Yi, J. Nachtman, H. Oğul, E. Tiras, Kamuran Dılsız, Ruifang He, Yun Chen and Zhongshu Wang and has published in prestigious journals such as IEEE Access, Journal of Plant Nutrition and Journal of low frequency noise, vibration and active control.

In The Last Decade

Ping Tan

7 papers receiving 29 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ping Tan China	3	8	5	4	3	3	8	30
Lyudmila Mikhailovna Kavelenova Russia	3	6 0.8×		6 1.5×	1 0.3×	2 0.7×	20	24
P. Buchholz United States	3	4 0.5×	2 0.4×	3 0.8×		2 0.7×	3	22
Souvik Das India	3	3 0.4×	4 0.8×			4 1.3×	5	11
John W. Judd United States	2	3 0.4×	3 0.6×		3 1.0×		3	7
Mathieu Tremblay Canada	2	5 0.6×		3 0.8×			3	9
Dhanuska Wijesinghe Sri Lanka	4	12 1.5×		5 1.3×		1 0.3×	6	27
Y. Fedorova Russia	3	7 0.9×		1 0.3×	7 2.3×		8	16
Shizuho Furuya Japan	2		3 0.6×	3 0.8×	3 1.0×	2 0.7×	3	14
Stephanie E. Richards United States	3	8 1.0×			4 1.3×		4	23

Countries citing papers authored by Ping Tan

Since Specialization

Citations

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

Fields of papers citing papers by Ping Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Tan

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

8 of 8 papers shown

1.

Xing, Ying, Ruifang He, Chengwen Zhang, & Ping Tan. (2025). Hierarchical Multi-Task Learning Based on Interactive Multi-Head Attention Feature Fusion for Speech Depression Recognition. IEEE Access. 13. 51208–51219. 1 indexed citations

2.

Li, Lingzhi, et al.. (2023). Compact Real-Time Radiance Fields with Neural Codebook. 2189–2194. 2 indexed citations

3.

Tan, Ping, et al.. (2019). Speaker verification normalization sequence kernel based on Gaussian mixture model super-vector and Bhattacharyya distance. Journal of low frequency noise, vibration and active control. 40(1). 60–71. 1 indexed citations

4.

Tan, Ping, et al.. (2018). An improved H-kappa-theta stacking method to determine the crustal thickness and bulk v(P)/v(S) ratios in the case of a slant Moho interface. 61(9). 5 indexed citations

5.

Yi, Hongwei, et al.. (2017). Effects of different concentrations of Se⁶⁺ on selenium absorption, transportation, and distribution of citrus seedlings (C. junos cv. Ziyang xiangcheng). Journal of Plant Nutrition. 1–10. 16 indexed citations

6.

Oğul, H., et al.. (2016). High Order QCD Predictions for Inclusive Production ofWBosons inppCollisions ats=13 TeV. Advances in High Energy Physics. 2016. 1–9. 3 indexed citations

7.

Tan, Ping, et al.. (2015). Hierarchical speaker verification: Kernel fisher discriminant plus Mixed-PCA classifier and FCM clustering. Lanzhou University Institutional Repository. 5. 1561–1565. 1 indexed citations

8.

Tan, Ping, et al.. (2015). A novel SVM Kernel with GMM super-vector based on bhattacharyya distance clustering plus within class covariance normalization. Lanzhou University Institutional Repository. 47–51. 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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