Tanjin He

2.4k total citations · 1 hit paper
27 papers, 1.7k citations indexed

About

Tanjin He is a scholar working on Materials Chemistry, Fluid Flow and Transfer Processes and Electrical and Electronic Engineering. According to data from OpenAlex, Tanjin He has authored 27 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Materials Chemistry, 8 papers in Fluid Flow and Transfer Processes and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Tanjin He's work include Machine Learning in Materials Science (14 papers), Advanced Combustion Engine Technologies (8 papers) and X-ray Diffraction in Crystallography (6 papers). Tanjin He is often cited by papers focused on Machine Learning in Materials Science (14 papers), Advanced Combustion Engine Technologies (8 papers) and X-ray Diffraction in Crystallography (6 papers). Tanjin He collaborates with scholars based in United States, China and Romania. Tanjin He's co-authors include Gerbrand Ceder, Haoyan Huo, Olga Kononova, Wenhao Sun, Ziqin Rong, Vahe Tshitoyan, Tiago Botari, Xin He, Christopher J. Bartel and Anubhav Jain and has published in prestigious journals such as Nature, Nature Communications and Chemistry of Materials.

In The Last Decade

Tanjin He

26 papers receiving 1.7k citations

Hit Papers

An autonomous laboratory for the accelerated synthesis of... 2023 2026 2024 2025 2023 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanjin He United States 19 1.1k 392 315 232 232 27 1.7k
Quan‐De Wang China 24 590 0.5× 622 1.6× 371 1.2× 447 1.9× 302 1.3× 111 1.9k
Manish Agarwal India 26 711 0.7× 96 0.2× 150 0.5× 33 0.1× 344 1.5× 77 1.6k
Huijun Feng China 41 734 0.7× 26 0.1× 211 0.7× 415 1.8× 486 2.1× 215 5.6k
Juraj Košek Czechia 28 311 0.3× 120 0.3× 483 1.5× 247 1.1× 469 2.0× 98 1.9k
Michael F. Malone United States 37 1.0k 1.0× 508 1.3× 111 0.4× 349 1.5× 1.0k 4.4× 112 3.8k
Zoran Jovanović Serbia 19 507 0.5× 39 0.1× 235 0.7× 45 0.2× 91 0.4× 77 993
Gerhard Goldbeck United Kingdom 15 840 0.8× 196 0.5× 75 0.2× 90 0.4× 115 0.5× 65 1.5k
Kenneth Kroenlein United States 17 303 0.3× 162 0.4× 113 0.4× 61 0.3× 499 2.2× 39 833

Countries citing papers authored by Tanjin He

Since Specialization
Citations

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

Fields of papers citing papers by Tanjin He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanjin He

This figure shows the co-authorship network connecting the top 25 collaborators of Tanjin He. A scholar is included among the top collaborators of Tanjin 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 Tanjin He. Tanjin He 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.
Xu, Yuliang, et al.. (2025). Interface modification by sulfonamide for high-efficiency and stable perovskite solar cells. Organic Electronics. 144. 107278–107278.
2.
Zuo, Wenhua, Huihuo Zheng, Tanjin He, et al.. (2025). Large language models for batteries. Joule. 9(8). 102037–102037. 3 indexed citations
3.
Zhong, Peichen, Bowen Deng, Tanjin He, Zhengyan Lun, & Gerbrand Ceder. (2024). Deep learning of experimental electrochemistry for battery cathodes across diverse compositions. Joule. 8(6). 1837–1854. 18 indexed citations
4.
Zeng, Yan, Nathan J. Szymanski, Tanjin He, et al.. (2024). Selective formation of metastable polymorphs in solid-state synthesis. Science Advances. 10(3). eadj5431–eadj5431. 14 indexed citations
5.
Wang, Zheren, Yingzhi Sun, Kevin Cruse, et al.. (2024). Optimal thermodynamic conditions to minimize kinetic by-products in aqueous materials synthesis. Nature Synthesis. 3(4). 527–536. 15 indexed citations
6.
Szymanski, Nathan J., Bernardus Rendy, Rishi E. Kumar, et al.. (2023). An autonomous laboratory for the accelerated synthesis of inorganic materials. Nature. 624(7990). 86–91. 451 indexed citations breakdown →
7.
Wang, Jingyang, Tanjin He, Xiaochen Yang, et al.. (2023). Design principles for NASICON super-ionic conductors. Nature Communications. 14(1). 5210–5210. 76 indexed citations
8.
He, Tanjin, Haoyan Huo, Christopher J. Bartel, et al.. (2023). Precursor recommendation for inorganic synthesis by machine learning materials similarity from scientific literature. Science Advances. 9(23). eadg8180–eadg8180. 35 indexed citations
9.
O’Nolan, Daniel, Songsheng Tao, Christopher J. Bartel, et al.. (2023). Selective Synthesis of Defect-Rich LaMnO3 by Low-Temperature Anion Cometathesis. Inorganic Chemistry. 63(7). 3250–3257. 3 indexed citations
10.
Wang, Zheren, Olga Kononova, Kevin Cruse, et al.. (2022). Dataset of solution-based inorganic materials synthesis procedures extracted from the scientific literature. Scientific Data. 9(1). 231–231. 51 indexed citations
11.
Cruse, Kevin, Amalie Trewartha, Sang‐Hoon Lee, et al.. (2022). Text-mined dataset of gold nanoparticle synthesis procedures, morphologies, and size entities. Scientific Data. 9(1). 234–234. 42 indexed citations
12.
Huo, Haoyan, Christopher J. Bartel, Tanjin He, et al.. (2022). Machine-Learning Rationalization and Prediction of Solid-State Synthesis Conditions. Chemistry of Materials. 34(16). 7323–7336. 51 indexed citations
13.
Kononova, Olga, Tanjin He, Haoyan Huo, et al.. (2021). Opportunities and challenges of text mining in materials research. iScience. 24(3). 102155–102155. 120 indexed citations
14.
He, Tanjin, Wenhao Sun, Haoyan Huo, et al.. (2020). Similarity of Precursors in Solid-State Synthesis as Text-Mined from Scientific Literature. Chemistry of Materials. 32(18). 7861–7873. 63 indexed citations
15.
He, Tanjin, Doo-Hyun Kim, Peng Zhang, et al.. (2020). Oxidation of 2,6-dimethylheptane at low temperature: Kinetic modeling and experimental study. Fuel. 287. 119220–119220. 6 indexed citations
16.
Kononova, Olga, Haoyan Huo, Tanjin He, et al.. (2019). Text-mined dataset of inorganic materials synthesis recipes. Scientific Data. 6(1). 203–203. 179 indexed citations
17.
Huo, Haoyan, Ziqin Rong, Olga Kononova, et al.. (2019). Semi-supervised machine-learning classification of materials synthesis procedures. npj Computational Materials. 5(1). 118 indexed citations
18.
He, Tanjin, Hongbo Zhang, Zhi Wang, et al.. (2016). An adaptive distance-based group contribution method for thermodynamic property prediction. Physical Chemistry Chemical Physics. 18(34). 23822–23830. 17 indexed citations
19.
You, Xiaoqing, et al.. (2016). Theoretical Analysis of the Effect of C═C Double Bonds on the Low-Temperature Reactivity of Alkenylperoxy Radicals. The Journal of Physical Chemistry A. 120(30). 5969–5978. 24 indexed citations
20.
Ji, Weiqi, Peng Zhao, Tanjin He, et al.. (2015). On the controlling mechanism of the upper turnover states in the NTC regime. Combustion and Flame. 164. 294–302. 42 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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