Tong He

1.0k total citations
8 papers, 541 citations indexed

About

Tong He is a scholar working on Cognitive Neuroscience, Health, Toxicology and Mutagenesis and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tong He has authored 8 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 2 papers in Health, Toxicology and Mutagenesis and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tong He's work include Functional Brain Connectivity Studies (6 papers), Neural dynamics and brain function (2 papers) and Advanced MRI Techniques and Applications (2 papers). Tong He is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Neural dynamics and brain function (2 papers) and Advanced MRI Techniques and Applications (2 papers). Tong He collaborates with scholars based in Singapore, United States and Germany. Tong He's co-authors include B.T. Thomas Yeo, Jiashi Feng, Avram J. Holmes, Simon B. Eickhoff, Ru Kong, Lijun An, Danilo Bzdok, Daniel C. Alexander, Jingwei Li and Mert R. Sabuncu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Neuroscience and NeuroImage.

In The Last Decade

Tong He

8 papers receiving 535 citations

Peers

Tong He

CN

RNMI

AI

ECP

PMH

Nicolas Honnorat United States

Weihao Zheng China

Darya Chyzhyk Spain

Weikai Li China

Nikhil Bhagwat Canada

Mehdi Rahim France

Anees Abrol United States

Mireille Nieuwenhuis Netherlands

Carlos Cabral Germany

Muhammad Naveed Iqbal Qureshi South Korea

Nicolas Honnorat United States

Tong He

273 ×0.8

CN

160 ×1.2

RNMI

67 ×0.7

AI

50 ×0.6

ECP

161 ×1.9

PMH

Citations per year, relative to Tong He Tong He (= 1×) peers Nicolas Honnorat

Countries citing papers authored by Tong He

Since Specialization

Citations

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

Fields of papers citing papers by Tong He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tong He

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

Meng, Fanran, Alan D. F. Dunbar, Lixiao Zhang, et al.. (2025). Reducing the environmental impact of large-scale photovoltaic systems through technological progress and effective management. RSC Sustainability. 3(5). 2286–2300. 1 indexed citations

2.

He, Tong, Lijun An, Jianzhong Chen, et al.. (2022). Meta-matching as a simple framework to translate phenotypic predictive models from big to small data. Nature Neuroscience. 25(6). 795–804. 49 indexed citations

3.

An, Lijun, Jianzhong Chen, Chen Zhang, et al.. (2022). Goal-specific brain MRI harmonization. NeuroImage. 263. 119570–119570. 19 indexed citations

4.

Anderson, Kevin, Meghan A. Collins, Ru Kong, et al.. (2020). Convergent molecular, cellular, and cortical neuroimaging signatures of major depressive disorder. Proceedings of the National Academy of Sciences. 117(40). 25138–25149. 106 indexed citations

5.

Nguyen, Minh, Tong He, Lijun An, et al.. (2020). Predicting Alzheimer's disease progression using deep recurrent neural networks. NeuroImage. 222. 117203–117203. 119 indexed citations

6.

He, Tong, Ru Kong, Avram J. Holmes, et al.. (2019). Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics. NeuroImage. 206. 116276–116276. 165 indexed citations

7.

Wu, Jianxiao, Gia H. Ngo, Douglas N. Greve, et al.. (2018). Accurate nonlinear mapping between MNI volumetric and FreeSurfer surface coordinate systems. Human Brain Mapping. 39(9). 3793–3808. 68 indexed citations

8.

He, Tong, Ru Kong, Avram J. Holmes, et al.. (2018). Is deep learning better than kernel regression for functional connectivity prediction of fluid intelligence?. 1–4. 14 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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