Fuchun Ge

653 total citations
18 papers, 385 citations indexed

About

Fuchun Ge is a scholar working on Materials Chemistry, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Fuchun Ge has authored 18 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 10 papers in Molecular Biology and 5 papers in Computational Theory and Mathematics. Recurrent topics in Fuchun Ge's work include Machine Learning in Materials Science (11 papers), Computational Drug Discovery Methods (5 papers) and Protein Structure and Dynamics (4 papers). Fuchun Ge is often cited by papers focused on Machine Learning in Materials Science (11 papers), Computational Drug Discovery Methods (5 papers) and Protein Structure and Dynamics (4 papers). Fuchun Ge collaborates with scholars based in China, France and Poland. Fuchun Ge's co-authors include Pavlo O. Dral, Mario Barbatti, Max Pinheiro, Nicolas Ferré, Limin Yang, Qiuquan Wang, Yong Liang, Lina Zhang, Langxing Liao and Baishan Fang and has published in prestigious journals such as The Journal of Chemical Physics, Analytical Chemistry and Food Chemistry.

In The Last Decade

Fuchun Ge

18 papers receiving 381 citations

Peers

Countries citing papers authored by Fuchun Ge

Since Specialization

Citations

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

Fields of papers citing papers by Fuchun Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuchun Ge

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

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	ANI-1ccx-gelu Universal Interatomic Potential and Its Fine-Tuning: Toward Accurate and Efficient Anharmonic Vibrational Frequencies 2025 ·The Journal of Physical Chemistry Letters ·(unknown), (unknown), (unknown), Fuchun Ge, (unknown), Pavlo O. Dral	7
2	Charting electronic-state manifolds across molecules with multi-state learning and gap-driven dynamics via efficient and robust active learning 2025 ·npj Computational Materials ·(unknown), Lina Zhang, Fuchun Ge, (unknown), Joanna Jankowska, Mario Barbatti, Pavlo O. Dral	6
3	Artificial Intelligence for Direct Prediction of Molecular Dynamics Across Chemical Space 2025 ·ChemRxiv ·Fuchun Ge, Pavlo O. Dral	1
4	MLatom 3: A Platform for Machine Learning-Enhanced Computational Chemistry Simulations and Workflows 2024 ·Journal of Chemical Theory and Computation ·Pavlo O. Dral, Fuchun Ge, (unknown), (unknown), (unknown), Mario Barbatti, Olexandr Isayev, Cheng Wang, (unknown), Max Pinheiro, Yuming Su, Yiheng Dai, (unknown), Lina Zhang, Shuang Zhang, Arif Ullah, (unknown), (unknown)	35
5	Physics-Informed Active Learning for Accelerating Quantum Chemical Simulations 2024 ·Journal of Chemical Theory and Computation ·(unknown), Lina Zhang, (unknown), Fuchun Ge, Pavlo O. Dral	4
6	Benchmark of general-purpose machine learning-based quantum mechanical method AIQM1 on reaction barrier heights 2023 ·The Journal of Chemical Physics ·(unknown), (unknown), (unknown), (unknown), Fuchun Ge, Pavlo O. Dral	16
7	Interpretable Machine Learning of Two‐Photon Absorption 2023 ·Advanced Science ·Yuming Su, Yiheng Dai, (unknown), (unknown), (unknown), Fuchun Ge, (unknown), Da Zhou, Pavlo O. Dral, Cheng Wang	19
8	Four-Dimensional-Spacetime Atomistic Artificial Intelligence Models 2023 ·The Journal of Physical Chemistry Letters ·Fuchun Ge, Lina Zhang, (unknown), (unknown), Arif Ullah, Pavlo O. Dral	5
9	Energy-conserving molecular dynamics is not energy conserving 2023 ·Physical Chemistry Chemical Physics ·Lina Zhang, (unknown), Fuchun Ge, Pavlo O. Dral	9
10	Explicit Learning of Derivatives with the KREG and pKREG Models on the Example of Accurate Representation of Molecular Potential Energy Surfaces 2023 ·Journal of Chemical Theory and Computation ·(unknown), Fuchun Ge, Pavlo O. Dral	15
11	Identification and antioxidant activity of bovine bone collagen-derived novel peptides prepared by recombinant collagenase from Bacillus cereus 2021 ·Food Chemistry ·(unknown), Yousi Fu, Shiyang Huang, Langxing Liao, Qian Wu, Yali Wang, Fuchun Ge, Baishan Fang	44
12	MLatom 2: An Integrative Platform for Atomistic Machine Learning 2021 ·Topics in Current Chemistry ·Pavlo O. Dral, Fuchun Ge, (unknown), (unknown), Max Pinheiro, Jianxing Huang, Mario Barbatti	37
13	Single-cell fucosylation breakdown: Switching fucose to europium 2021 ·iScience ·Zhen Liu, Yong Liang, Yang Zhou, Fuchun Ge, Xiaowen Yan, Limin Yang, Qiuquan Wang	6
14	Choosing the right molecular machine learning potential 2021 ·Chemical Science ·Max Pinheiro, Fuchun Ge, Nicolas Ferré, Pavlo O. Dral, Mario Barbatti	133
15	Single-Cell Fucosylation Breakdown: Switching Fucose to Europium 2020 ·SSRN Electronic Journal ·Zhen Liu, Yong Liang, Yang Zhou, Fuchun Ge, Xiaowen Yan, Limin Yang, Qiuquan Wang	1
16	Fluorescent and mass spectrometric evaluation of the phagocytic internalization of a CD47-peptide modified drug-nanocarrier 2019 ·Analytical and Bioanalytical Chemistry ·Chunlan Liu, (unknown), Fuchun Ge, Limin Yang, Qiuquan Wang	8
17	Inhibitory Covalent Labeling and Clickable-Eu-Tagging-Based ICPMS: Measurement of pH-Dependent Absolute Activities of the Cathepsins in Hepatocyte Lysosomes 2019 ·Analytical Chemistry ·(unknown), Yong Liang, Fuchun Ge, Limin Yang, Qiuquan Wang	18
18	Viruslike Element-Tagged Nanoparticle Inductively Coupled Plasma Mass Spectrometry Signal Multiplier: Membrane Biomarker Mediated Cell Counting 2019 ·Analytical Chemistry ·(unknown), Fuchun Ge, Yong Liang, Yang Zhou, Limin Yang, Qiuquan Wang	21

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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