Ting Hu

925 total citations
49 papers, 561 citations indexed

About

Ting Hu is a scholar working on Artificial Intelligence, Computational Mechanics and Control and Systems Engineering. According to data from OpenAlex, Ting Hu has authored 49 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 18 papers in Computational Mechanics and 11 papers in Control and Systems Engineering. Recurrent topics in Ting Hu's work include Sparse and Compressive Sensing Techniques (14 papers), Control Systems and Identification (10 papers) and Neural Networks and Applications (7 papers). Ting Hu is often cited by papers focused on Sparse and Compressive Sensing Techniques (14 papers), Control Systems and Identification (10 papers) and Neural Networks and Applications (7 papers). Ting Hu collaborates with scholars based in China, Hong Kong and United States. Ting Hu's co-authors include Ding‐Xuan Zhou, Qiang Wu, Peng Wang, Weiping Liu, Wanyi Li, Jia Sun, Jun Fan, Ke Tang, Yunwen Lei and Zheng-Chu Guo and has published in prestigious journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Ting Hu

39 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ting Hu China	11	242	223	146	90	79	49	561
Jin Yu China	11	89 0.4×	196 0.9×	295 2.0×	37 0.4×	54 0.7×	21	512
C. J. Price New Zealand	13	106 0.4×	208 0.9×	49 0.3×	40 0.4×	2 0.0×	54	719
Efi Fogel Israel	11	178 0.7×	21 0.1×	178 1.2×	39 0.4×	29 0.4×	25	515
Tao Xie China	12	16 0.1×	76 0.3×	130 0.9×	24 0.3×	15 0.2×	55	399
Xiao Sun China	14	42 0.2×	85 0.4×	63 0.4×	19 0.2×	18 0.2×	41	580
Keshu Zhang United States	15	37 0.2×	512 2.3×	336 2.3×	44 0.5×	19 0.2×	43	1.0k
Monique Teillaud France	15	178 0.7×	37 0.2×	226 1.5×	67 0.7×	23 0.3×	38	692
Samuel Rippa Israel	5	199 0.8×	59 0.3×	95 0.7×	42 0.5×	6 0.1×	5	594
Doron Mintz United States	6	40 0.2×	59 0.3×	359 2.5×	46 0.5×	21 0.3×	11	522
Yong-Qing Cheng China	11	26 0.1×	67 0.3×	418 2.9×	29 0.3×	21 0.3×	30	535

Countries citing papers authored by Ting Hu

Since Specialization

Citations

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

Fields of papers citing papers by Ting Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Hu

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

All Works

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20 of 20 papers shown

Hu, Ting, et al.. (2025). An application of TikTok flipped classroom in art education. 3(1). 2197–2197.

Wang, Gaihua, Yan Guo, & Ting Hu. (2025). Enhancing low-light object detection through domain adaptation and image enhancement. The Visual Computer. 41(14). 11947–11958.

Hu, Ting, et al.. (2025). The effectiveness of the TikTok flipped classroom method on students' academic performance in folk art course. Acta Psychologica. 257. 105094–105094.

Hu, Ting, et al.. (2025). TikTok flipped classroom method in folk art courses: an investigation of teachers and learners’ perceptions. Frontiers in Education. 10.

Hu, Ting, et al.. (2025). Examining the beliefs of non-native English-speaking teachers and EFL students about WCF in enhancing writing skills. Acta Psychologica. 256. 105064–105064. 1 indexed citations

Liu, Mingyan, Yi Wan, Pei Wang, et al.. (2025). Electronic doping induced increase in coercive field of sliding ferroelectric 1T′-ReS2 multilayers. Physical review. B.. 111(10).

Liu, Xin, Ting Hu, Yujun Zhang, et al.. (2024). Flexomagnetoelectric Effect in Sr2IrO4 Thin Films. Physical Review Letters. 133(15). 156505–156505. 3 indexed citations

Hu, Ting, et al.. (2024). Photothermal Assisted Biomass Oxidation for Pairing Carbon Dioxide Electroreduction with Low Cell Potential. ChemSusChem. 18(2). e202400493–e202400493. 1 indexed citations

Hu, Ting, et al.. (2024). Research on Intelligent Monitoring and Concentration Prediction for Penicillin Fermentation Process. Biotechnology and Bioengineering. 122(3). 570–578.

10.

Hu, Ting. (2023). Evaluation of the Integration Path of Ideological and Political Elements in English Major Courses Based on the ADDIE Model. Applied Mathematics and Nonlinear Sciences. 8(2). 2981–2992.

11.

Wang, Cheng, et al.. (2022). Pairwise learning problems with regularization networks and Nyström subsampling approach. Neural Networks. 157. 176–192. 4 indexed citations

12.

Lei, Yunwen, Ting Hu, & Ke Tang. (2021). Generalization Performance of Multi-pass Stochastic Gradient Descent with Convex Loss Functions. Journal of Machine Learning Research. 22(25). 1–41. 10 indexed citations

13.

Guo, Xin, Ting Hu, & Qiang Wu. (2020). Distributed Minimum Error Entropy Algorithms. Journal of Machine Learning Research. 21(126). 1–31. 6 indexed citations

14.

Hu, Ting, et al.. (2019). Convergence analysis of distributed multi-penalty regularized pairwise learning. Analysis and Applications. 18(1). 109–127. 7 indexed citations

15.

Lei, Yunwen, et al.. (2019). Stochastic Gradient Descent for Nonconvex Learning Without Bounded Gradient Assumptions. IEEE Transactions on Neural Networks and Learning Systems. 31(10). 4394–4400. 57 indexed citations

16.

Fan, Jun, Ting Hu, Qiang Wu, & Ding‐Xuan Zhou. (2014). Consistency analysis of an empirical minimum error entropy algorithm. Applied and Computational Harmonic Analysis. 41(1). 164–189. 44 indexed citations

17.

Hu, Ting. (2013). Empirical Work on the Effect of Chinese Banking Competition on Bank Risk Based on GMM. Zhongguo guanli kexue.

18.

Hu, Ting, et al.. (2011). Learning with varying insensitive loss. Applied Mathematics Letters. 24(12). 2107–2109. 8 indexed citations

19.

Hu, Ting. (2010). A Network Traffic Classification Method Based on the MIX-Kernel Self-Organizing Maps. Computer Engineering and Science. 1 indexed citations

20.

Hu, Ting & Ding‐Xuan Zhou. (2009). Online Learning with Samples Drawn from Non-identical Distributions. Journal of Machine Learning Research. 10(98). 2873–2898. 16 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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