Tao Hu

3.2k total citations · 1 hit paper
133 papers, 2.1k citations indexed

About

Tao Hu is a scholar working on Statistics and Probability, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Tao Hu has authored 133 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Statistics and Probability, 35 papers in Artificial Intelligence and 18 papers in Economics and Econometrics. Recurrent topics in Tao Hu's work include Statistical Methods and Inference (45 papers), Statistical Methods and Bayesian Inference (29 papers) and Bayesian Methods and Mixture Models (12 papers). Tao Hu is often cited by papers focused on Statistical Methods and Inference (45 papers), Statistical Methods and Bayesian Inference (29 papers) and Bayesian Methods and Mixture Models (12 papers). Tao Hu collaborates with scholars based in China, United States and Hong Kong. Tao Hu's co-authors include Jianguo Sun, Yi Qian, Qinkai Han, Fulei Chu, Kaihui Song, Xianqiang Mao, An Zeng, Youkai Xing, Qingning Zhou and Ling Ma and has published in prestigious journals such as Nature Communications, Journal of the American Statistical Association and Environmental Science & Technology.

In The Last Decade

Tao Hu

117 papers receiving 2.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Global and regional patterns of soil metal(loid) mobility and associated risks

2025 43 citations Chongchong Qi, Tao Hu et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tao Hu China	25	458	368	340	337	274	133	2.1k
Lifeng Wu China	32	60 0.1×	1.6k 4.4×	707 2.1×	834 2.5×	203 0.7×	138	3.7k
James Simpson United States	24	286 0.6×	210 0.6×	527 1.6×	64 0.2×	47 0.2×	125	2.5k
Lin Liu China	31	57 0.1×	320 0.9×	803 2.4×	55 0.2×	155 0.6×	165	3.2k
M. Socorro García‐Cascales Spain	23	58 0.1×	356 1.0×	375 1.1×	101 0.3×	611 2.2×	65	2.6k
Aykut I. Ölçer Sweden	32	38 0.1×	295 0.8×	1.4k 4.1×	232 0.7×	106 0.4×	102	3.6k
Timothy M. Smith United States	24	123 0.3×	128 0.3×	236 0.7×	198 0.6×	50 0.2×	88	1.9k
Gyan Chhipi‐Shrestha Canada	23	61 0.1×	97 0.3×	311 0.9×	64 0.2×	118 0.4×	58	1.5k
Harri Niska Finland	14	44 0.1×	438 1.2×	447 1.3×	43 0.1×	256 0.9×	38	1.5k
Yaoguo Dang China	24	43 0.1×	969 2.6×	251 0.7×	410 1.2×	170 0.6×	145	2.3k
Yan Ran China	23	38 0.1×	104 0.3×	261 0.8×	193 0.6×	70 0.3×	101	1.7k

Countries citing papers authored by Tao Hu

Since Specialization

Citations

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

Fields of papers citing papers by Tao Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Hu

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

Qi, Chongchong, Tao Hu, Yi Zheng, et al.. (2025). Global and regional patterns of soil metal(loid) mobility and associated risks. Nature Communications. 16(1). 2947–2947. 43 indexed citations breakdown →

Zhang, Xiang, Qiang Zhu, Tao Hu, et al.. (2025). Joint high-resolution feature learning and vessel-shape aware convolutions for efficient vessel segmentation. Computers in Biology and Medicine. 191. 109982–109982. 3 indexed citations

Zhou, Min, et al.. (2024). Rapid estimation of soil Mn content by machine learning and soil spectra in large-scale. Ecological Informatics. 81. 102615–102615. 26 indexed citations

Hu, Tao, et al.. (2024). Regression analysis of group-tested current status data. Biometrika. 111(3). 1047–1061. 3 indexed citations

Hu, Tao, et al.. (2024). Subgroup detection in the heterogeneous partially linear additive Cox model. Journal of nonparametric statistics. 37(4). 746–771. 1 indexed citations

Xie, Mengqi, et al.. (2024). Transfer learning under the Cox model with interval‐censored data. Statistical Analysis and Data Mining The ASA Data Science Journal. 17(2). 1 indexed citations

Lou, Liang, Xuncheng Liu, Yuanyu Wang, et al.. (2024). Achieving reusability of leachate for multi-element recovery of the discarded LiNixCoyMn1-x-yO2 cathode by regulating the co-precipitation coefficient. Chinese Chemical Letters. 36(5). 109726–109726. 12 indexed citations

Hu, Tao, et al.. (2024). Simultaneous variable selection and estimation in semiparametric regression of mixed panel count data. Biometrics. 80(1).

Hu, Tao, et al.. (2024). Mechanisms of hydrocarbon generation from organic matters: Theories, experiments and simulations. ADVANCES IN GEO-ENERGY RESEARCH. 12(2). 156–160. 1 indexed citations

10.

Chi, Yichun, et al.. (2023). Optimal risk management with reinsurance and its counterparty risk hedging. Insurance Mathematics and Economics. 113. 274–292. 2 indexed citations

11.

Chen, Honghui, et al.. (2023). PPChain: A Blockchain for Pandemic Prevention and Control Assisted by Federated Learning. Bioengineering. 10(8). 965–965.

12.

Zhao, Shishun, et al.. (2023). Partially Linear Additive Hazards Regression for Bivariate Interval-Censored Data. Axioms. 12(2). 198–198. 1 indexed citations

13.

Zhang, Xinran, Jingyuan Liu, Tao Hu, et al.. (2023). Federated Learning-Assisted Vehicular Edge Computing: Architecture and Research Directions. IEEE Vehicular Technology Magazine. 18(4). 75–84. 16 indexed citations

14.

Hu, Tao, et al.. (2023). Solar Radiation Prediction Based on Conformer-GLaplace-SDAR Model. Sustainability. 15(20). 15050–15050. 2 indexed citations

15.

Yang, Jiaxin, et al.. (2022). Location-Based Scene Reconstruction for Long-Tail Recognition. 33. 1773–1777.

16.

Cui, Hengjian, et al.. (2021). Drought Prediction Based on Feature-Based Transfer Learning and Time Series Imaging. IEEE Access. 9. 101454–101468. 27 indexed citations

17.

Hu, Tao, et al.. (2019). Semiparametric probit model for informative current status data. Statistics in Medicine. 38(12). 2219–2227. 6 indexed citations

18.

Han, Qinkai, Hao Wu, Tao Hu, & Fulei Chu. (2018). Short-Term Wind Speed Forecasting Based on Signal Decomposing Algorithm and Hybrid Linear/Nonlinear Models. Energies. 11(11). 2976–2976. 21 indexed citations

19.

Hu, Tao, Qingning Zhou, & Jianguo Sun. (2017). Regression analysis of bivariate current status data under the proportional hazards model. Canadian Journal of Statistics. 45(4). 410–424. 17 indexed citations

20.

Hu, Tao, Cengiz Pehlevan, & Dmitri B. Chklovskii. (2014). A Hebbian/Anti-Hebbian network for online sparse dictionary learning derived from symmetric matrix factorization. 2014 48th Asilomar Conference on Signals, Systems and Computers. 613–619. 12 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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