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, Qiuquan Wang, Limin Yang, Yong Liang, Lina Zhang, Langxing Liao and Yali Wang 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Fuchun Ge	233	132	100	81	49	18	385
Riccardo Petraglia	263 1.1×	131 1.0×	170 1.7×	41 0.5×	29 0.6×	10	439
Carlos H. Borca	258 1.1×	126 1.0×	53 0.5×	59 0.7×	53 1.1×	25	602
Jinxiao Zhang	278 1.2×	87 0.7×	94 0.9×	77 1.0×	74 1.5×	29	481
Pavan Kumar Behara	206 0.9×	154 1.2×	136 1.4×	42 0.5×	30 0.6×	11	363
Farhad Ramezanghorbani	252 1.1×	108 0.8×	135 1.4×	54 0.7×	22 0.4×	7	336
Mojtaba Haghighatlari	316 1.4×	183 1.4×	163 1.6×	36 0.4×	45 0.9×	15	476
Koji Okuwaki	122 0.5×	189 1.4×	141 1.4×	83 1.0×	43 0.9×	47	487
Shampa Raghunathan	150 0.6×	132 1.0×	96 1.0×	161 2.0×	38 0.8×	20	413
Daisy Y. Kyu	95 0.4×	138 1.0×	96 1.0×	81 1.0×	54 1.1×	4	336
Van‐Quan Vuong	186 0.8×	178 1.3×	74 0.7×	123 1.5×	28 0.6×	23	503

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

Ge, Fuchun, et al.. (2025). ANI-1ccx-gelu Universal Interatomic Potential and Its Fine-Tuning: Toward Accurate and Efficient Anharmonic Vibrational Frequencies. The Journal of Physical Chemistry Letters. 16(2). 483–493. 7 indexed citations

Zhang, Lina, et al.. (2025). Charting electronic-state manifolds across molecules with multi-state learning and gap-driven dynamics via efficient and robust active learning. npj Computational Materials. 11(1). 132–132. 6 indexed citations

Ge, Fuchun & Pavlo O. Dral. (2025). Artificial Intelligence for Direct Prediction of Molecular Dynamics Across Chemical Space. ChemRxiv. 1 indexed citations

Dral, Pavlo O., Fuchun Ge, Mario Barbatti, et al.. (2024). MLatom 3: A Platform for Machine Learning-Enhanced Computational Chemistry Simulations and Workflows. Journal of Chemical Theory and Computation. 20(3). 1193–1213. 35 indexed citations

Zhang, Lina, et al.. (2024). Physics-Informed Active Learning for Accelerating Quantum Chemical Simulations. Journal of Chemical Theory and Computation. 4 indexed citations

Ge, Fuchun, et al.. (2023). Benchmark of general-purpose machine learning-based quantum mechanical method AIQM1 on reaction barrier heights. The Journal of Chemical Physics. 158(7). 74103–74103. 16 indexed citations

Su, Yuming, Yiheng Dai, Fuchun Ge, et al.. (2023). Interpretable Machine Learning of Two‐Photon Absorption. Advanced Science. 10(8). e2204902–e2204902. 19 indexed citations

Ge, Fuchun, et al.. (2023). Four-Dimensional-Spacetime Atomistic Artificial Intelligence Models. The Journal of Physical Chemistry Letters. 14(34). 7732–7743. 5 indexed citations

Zhang, Lina, et al.. (2023). Energy-conserving molecular dynamics is not energy conserving. Physical Chemistry Chemical Physics. 25(35). 23467–23476. 9 indexed citations

10.

Ge, Fuchun, et al.. (2023). Explicit Learning of Derivatives with the KREG and pKREG Models on the Example of Accurate Representation of Molecular Potential Energy Surfaces. Journal of Chemical Theory and Computation. 19(8). 2369–2379. 15 indexed citations

11.

Fu, Yousi, Shiyang Huang, Langxing Liao, et al.. (2021). Identification and antioxidant activity of bovine bone collagen-derived novel peptides prepared by recombinant collagenase from Bacillus cereus. Food Chemistry. 349. 129143–129143. 44 indexed citations

12.

Dral, Pavlo O., et al.. (2021). MLatom 2: An Integrative Platform for Atomistic Machine Learning. Topics in Current Chemistry. 379(4). 27–27. 37 indexed citations

13.

Liu, Zhen, Yong Liang, Yang Zhou, et al.. (2021). Single-cell fucosylation breakdown: Switching fucose to europium. iScience. 24(5). 102397–102397. 6 indexed citations

14.

Pinheiro, Max, Fuchun Ge, Nicolas Ferré, Pavlo O. Dral, & Mario Barbatti. (2021). Choosing the right molecular machine learning potential. Chemical Science. 12(43). 14396–14413. 133 indexed citations

15.

Liu, Zhen, Yong Liang, Yang Zhou, et al.. (2020). Single-Cell Fucosylation Breakdown: Switching Fucose to Europium. SSRN Electronic Journal. 1 indexed citations

16.

Liu, Chunlan, et al.. (2019). Fluorescent and mass spectrometric evaluation of the phagocytic internalization of a CD47-peptide modified drug-nanocarrier. Analytical and Bioanalytical Chemistry. 411(18). 4193–4202. 8 indexed citations

17.

Liang, Yong, et al.. (2019). Inhibitory Covalent Labeling and Clickable-Eu-Tagging-Based ICPMS: Measurement of pH-Dependent Absolute Activities of the Cathepsins in Hepatocyte Lysosomes. Analytical Chemistry. 91(11). 7032–7038. 18 indexed citations

18.

Ge, Fuchun, et al.. (2019). Viruslike Element-Tagged Nanoparticle Inductively Coupled Plasma Mass Spectrometry Signal Multiplier: Membrane Biomarker Mediated Cell Counting. Analytical Chemistry. 91(8). 4948–4952. 21 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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