Zhong Jin

2.2k total citations · 1 hit paper
13 papers, 1.4k citations indexed

About

Zhong Jin is a scholar working on Materials Chemistry, Spectroscopy and Computational Theory and Mathematics. According to data from OpenAlex, Zhong Jin has authored 13 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Materials Chemistry, 4 papers in Spectroscopy and 3 papers in Computational Theory and Mathematics. Recurrent topics in Zhong Jin's work include Machine Learning in Materials Science (5 papers), Computational Drug Discovery Methods (3 papers) and Spectroscopy and Quantum Chemical Studies (2 papers). Zhong Jin is often cited by papers focused on Machine Learning in Materials Science (5 papers), Computational Drug Discovery Methods (3 papers) and Spectroscopy and Quantum Chemical Studies (2 papers). Zhong Jin collaborates with scholars based in China, United Kingdom and United States. Zhong Jin's co-authors include Kunxian Shu, Fuchu He, Kenli Li, Henning Hermjakob, Mingze Bai, Songfeng Wu, Yunping Zhu, Guoqing Zhang, Chunyuan Yang and Tao Chen and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Zhong Jin

10 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

iProX: an integrated proteome resource

2018 1.2k citations Jie Ma, Tao Chen et al. Nucleic Acids Research profile →

Peers

Countries citing papers authored by Zhong Jin

Since Specialization

Citations

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

Fields of papers citing papers by Zhong Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhong Jin

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System 2026 ·Baohua Zhang, (unknown), (unknown), Zhong Jin, (unknown), Ce Li	0
2	PGAP2: A comprehensive toolkit for prokaryotic pan-genome analysis based on fine-grained feature networks 2025 ·Nature Communications ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), F. Lv, (unknown), (unknown), Zhewen Zhang, Zhong Jin, Jingfa Xiao	0
3	TopoMAS: Large Language Model Driven Topological Materials Multiagent System 2025 ·ArXiv.org ·Baohua Zhang, Lin Xin, (unknown), Zhong Jin, Quansheng Wu, (unknown)	1
4	A multi-level parallel approach to increase the computation efficiency of a global ocean temperature dataset reconstruction 2024 ·Journal of Parallel and Distributed Computing ·Huifeng Yuan, Lijing Cheng, Yuying Pan, Zhetao Tan, (unknown), Zhong Jin	0
5	PASCI : A Scalable Framework for Heterogeneous Parallel Calculation of Dynamical Electron Correlation 2024 ·(unknown), (unknown), H. Zhang, (unknown), (unknown), Haibo Ma, Yingjin Ma, Zhong Jin	1
6	Machine‐learning assisted scheduling optimization and its application in quantum chemical calculations 2023 ·Journal of Computational Chemistry ·Yingjin Ma, Zhiying Li, Xin Chen, Bowen Ding, Ning Li, (unknown), Baohua Zhang, Bingbing Suo, Zhong Jin	3
7	PubExplorer: An interactive analytical system for visualizing publication data 2023 ·Visual Informatics ·(unknown), Yan Wang, Xiaomin Yu, (unknown), Zhong Jin	2
8	Molecular docking-based computational platform for high-throughput virtual screening 2022 ·PubMed ·Baohua Zhang, Hui Li, Kunqian Yu, Zhong Jin	64
9	Optimizing two-electron repulsion integral calculations with McMurchie–Davidson method on graphic processing unit 2021 ·The Journal of Chemical Physics ·(unknown), Bingbing Suo, Yingjin Ma, Zhong Jin	12
10	Forecasting System of Computational Time of DFT/TDDFT Calculations under the Multiverse Ansatz via Machine Learning and Cheminformatics 2021 ·ACS Omega ·Shuo Ma, Yingjin Ma, Baohua Zhang, (unknown), Zhong Jin	9
11	Hartree-Fock and Density Functional Calculations on Graphics Processing Unit 2021 ·Acta Chimica Sinica ·Yan Wang, (unknown), Zhong Jin, Bingbing Suo	2
12	iProX: an integrated proteome resource breakdown → 2018 ·Nucleic Acids Research ·Jie Ma, Tao Chen, Songfeng Wu, Chunyuan Yang, Mingze Bai, Kunxian Shu, Kenli Li, Guoqing Zhang, Zhong Jin, Fuchu He, Henning Hermjakob, Yunping Zhu	1215
13	Classical and quasiclassical spectral analysis of CH5+ using an ab initio potential energy surface 2003 ·The Journal of Chemical Physics ·Alex Brown, Bastiaan J. Braams, Kurt M. Christoffel, Zhong Jin, Joel M. Bowman	92

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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