Bing-Nan Lu

2.2k total citations
54 papers, 1.5k citations indexed

About

Bing-Nan Lu is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and Condensed Matter Physics. According to data from OpenAlex, Bing-Nan Lu has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Nuclear and High Energy Physics, 18 papers in Atomic and Molecular Physics, and Optics and 7 papers in Condensed Matter Physics. Recurrent topics in Bing-Nan Lu's work include Nuclear physics research studies (36 papers), Quantum Chromodynamics and Particle Interactions (28 papers) and Astronomical and nuclear sciences (10 papers). Bing-Nan Lu is often cited by papers focused on Nuclear physics research studies (36 papers), Quantum Chromodynamics and Particle Interactions (28 papers) and Astronomical and nuclear sciences (10 papers). Bing-Nan Lu collaborates with scholars based in China, Germany and United States. Bing-Nan Lu's co-authors include Shan-Gui Zhou, En-Guang Zhao, Jie Zhao, Dean Lee, Ulf-G. Meißner, D. Vretenar, Tamara Nikšić, Serdar Elhatisari, Ning Li and E. Epelbaum and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

Bing-Nan Lu

51 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing-Nan Lu China 21 1.3k 573 153 126 107 54 1.5k
Елена Литвинова United States 27 1.7k 1.3× 817 1.4× 337 2.2× 125 1.0× 155 1.4× 73 1.8k
E. Garrido Spain 25 1.6k 1.3× 1.4k 2.4× 248 1.6× 68 0.5× 96 0.9× 121 2.0k
A. S. Jensen Denmark 22 1.3k 1.0× 1.2k 2.1× 151 1.0× 54 0.4× 88 0.8× 74 1.7k
S. Frauendorf United States 19 796 0.6× 561 1.0× 216 1.4× 98 0.8× 57 0.5× 36 961
E. Olsen United States 15 1.2k 0.9× 480 0.8× 128 0.8× 44 0.3× 195 1.8× 17 1.3k
J.-P. Ebran France 17 837 0.6× 474 0.8× 168 1.1× 36 0.3× 76 0.7× 53 927
S. Y. Wang China 15 667 0.5× 428 0.7× 202 1.3× 61 0.5× 34 0.3× 57 825
Noritaka Shimizu Japan 29 2.3k 1.8× 1.0k 1.8× 489 3.2× 164 1.3× 102 1.0× 123 2.4k
V. Somà France 21 1.2k 0.9× 664 1.2× 274 1.8× 32 0.3× 50 0.5× 49 1.3k
Alexander Volya United States 20 1.3k 1.0× 1.0k 1.8× 241 1.6× 54 0.4× 72 0.7× 121 1.7k

Countries citing papers authored by Bing-Nan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Bing-Nan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bing-Nan Lu. 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 Bing-Nan Lu. The network helps show where Bing-Nan Lu may publish in the future.

Co-authorship network of co-authors of Bing-Nan Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Bing-Nan Lu. A scholar is included among the top collaborators of Bing-Nan Lu 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 Bing-Nan Lu. Bing-Nan Lu 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.
Liu, Jun, et al.. (2025). Binding of the three-hadron DD*K system from the lattice effective field theory. Physical review. D. 111(3). 4 indexed citations
2.
Giacalone, Giuliano, B. Bally, Govert Nijs, et al.. (2025). Exploiting Ne20 Isotopes for Precision Characterizations of Collectivity in Small Systems. Physical Review Letters. 135(1). 12302–12302. 6 indexed citations
3.
Liu, Yifan, J Cui, Jiangui Liu, et al.. (2025). The comprehensive potential of AQP1 as a tumor biomarker: evidence from kidney neoplasm cohorts, cell experiments and pan-cancer analysis. Human Genomics. 19(1). 15–15. 2 indexed citations
4.
Liu, Jun, Yifan Liu, Yuwei Lu, et al.. (2025). A novel mesothelioma molecular classification based on malignant cell differentiation. Cancer Cell International. 25(1). 235–235.
5.
Chu, Chuanmin, Bing-Nan Lu, Muchen Li, et al.. (2025). Bioinformatic analysis and retrospective clinical study identifying DNAJB4 as a pan-cancer biomarker with a highlight on kidney cancer. Clinical and Experimental Medicine. 25(1). 260–260.
6.
Elhatisari, Serdar, Y. Z., E. Epelbaum, et al.. (2024). Wavefunction matching for solving quantum many-body problems. Nature. 630(8015). 59–63. 29 indexed citations
7.
Z., Y., Zidu Lin, Bing-Nan Lu, et al.. (2024). Structure Factors for Hot Neutron Matter from Ab Initio Lattice Simulations with High-Fidelity Chiral Interactions. Physical Review Letters. 132(23). 232502–232502. 10 indexed citations
8.
Liu, Yifan, Xinyue Yang, Bing-Nan Lu, et al.. (2024). Lymphocyte activation gene 3 served as a potential prognostic and immunological biomarker across various cancer types: a clinical and pan‐cancer analysis. Clinical & Translational Immunology. 13(10). e70009–e70009. 3 indexed citations
9.
Liu, Yifan, Bing-Nan Lu, Lei Wang, et al.. (2024). Construction and validation of a regulatory T cells-based classification of renal cell carcinoma: an integrated bioinformatic analysis and clinical cohort study. Cellular Oncology. 48(3). 591–615. 2 indexed citations
10.
Shen, Shihang, Serdar Elhatisari, Timo A. Lähde, et al.. (2023). Emergent geometry and duality in the carbon nucleus. Nature Communications. 14(1). 2777–2777. 31 indexed citations
11.
Zhang, Mingjie, Yifan Liu, Shuyuan Xian, et al.. (2023). Effects of intestinal microbes on rheumatic diseases: A bibliometric analysis. Frontiers in Microbiology. 13. 1074003–1074003. 11 indexed citations
12.
Lu, Bing-Nan, Ning Li, Serdar Elhatisari, et al.. (2022). Perturbative Quantum Monte Carlo Method for Nuclear Physics. Physical Review Letters. 128(24). 242501–242501. 19 indexed citations
13.
Lee, Dean, S. K. Bogner, B. A. Brown, et al.. (2021). Hidden Spin-Isospin Exchange Symmetry. Physical Review Letters. 127(6). 62501–62501. 17 indexed citations
14.
15.
Song, Young-Ho, et al.. (2021). Quantum many-body calculations using body-centered cubic lattices. Physical review. C. 104(4). 2 indexed citations
16.
Lu, Bing-Nan, et al.. (2021). The angular momentum and parity projected multidimensionally constrained relativistic Hartree–Bogoliubov model. Communications in Theoretical Physics. 74(1). 15303–15303. 13 indexed citations
17.
Li, Ning, et al.. (2020). Superfluid condensate fraction and pairing wave function of the unitary Fermi gas. Physical review. A. 101(6). 7 indexed citations
18.
Lu, Bing-Nan, Ning Li, Serdar Elhatisari, et al.. (2020). Ab Initio Nuclear Thermodynamics. Physical Review Letters. 125(19). 192502–192502. 26 indexed citations
19.
Lu, Bing-Nan, Ning Li, Serdar Elhatisari, et al.. (2019). Essential elements for nuclear binding. Physics Letters B. 797. 134863–134863. 63 indexed citations
20.
Elhatisari, Serdar, E. Epelbaum, H. Krebs, et al.. (2017). Ab initio Calculations of the Isotopic Dependence of Nuclear Clustering. Physical Review Letters. 119(22). 222505–222505. 52 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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