J. M. Bian

9.9k total citations
11 papers, 40 citations indexed

About

J. M. Bian is a scholar working on Nuclear and High Energy Physics, Pollution and Oceanography. According to data from OpenAlex, J. M. Bian has authored 11 papers receiving a total of 40 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nuclear and High Energy Physics, 1 paper in Pollution and 1 paper in Oceanography. Recurrent topics in J. M. Bian's work include Neutrino Physics Research (5 papers), Particle physics theoretical and experimental studies (4 papers) and Astrophysics and Cosmic Phenomena (3 papers). J. M. Bian is often cited by papers focused on Neutrino Physics Research (5 papers), Particle physics theoretical and experimental studies (4 papers) and Astrophysics and Cosmic Phenomena (3 papers). J. M. Bian collaborates with scholars based in China, United States and Russia. J. M. Bian's co-authors include Pierre Baldi, Lars Hertel, D. Rocco, N. Nayak, K. Sachdev, Hongyue Duyang, B. Wang, E. Niner, A. Hatzikoutelis and M. Baird and has published in prestigious journals such as Chemosphere, Applied Thermal Engineering and Ecotoxicology and Environmental Safety.

In The Last Decade

J. M. Bian

10 papers receiving 39 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. M. Bian China	3	32	4	3	2	2	11	40
Damir Lelas Croatia	2	37 1.2×	3 0.8×	3 1.0×	2 1.0×	2 1.0×	4	39
W. Lampl Switzerland	2	36 1.1×	3 0.8×	3 1.0×	1 0.5×	2 1.0×	2	38
L. Beresford United Kingdom	3	42 1.3×	4 1.0×	3 1.0×	1 0.5×	1 0.5×	5	44
Nicolas Chanon France	2	32 1.0×	4 1.0×	2 0.7×			4	32
G. Unal France	3	43 1.3×	4 1.0×	4 1.3×	1 0.5×	2 1.0×	7	44
P. Rieck Germany	2	47 1.5×	4 1.0×	4 1.3×		1 0.5×	3	49
S. Calvet France	2	22 0.7×	4 1.0×	5 1.7×			4	22
S. Guindon Germany	2	21 0.7×	3 0.8×	2 0.7×	1 0.5×		2	21
З. Маршалл United States	4	24 0.8×	2 0.5×	3 1.0×	3 1.5×		12	26

Countries citing papers authored by J. M. Bian

Since Specialization

Citations

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

Fields of papers citing papers by J. M. Bian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. M. Bian. 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 J. M. Bian. The network helps show where J. M. Bian may publish in the future.

Co-authorship network of co-authors of J. M. Bian

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

All Works

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11 of 11 papers shown

1.

Dumack, Kenneth, et al.. (2025). Resource utilization of decarbonized coal gasification slag in soil quality improvement: New insights into microbial community composition and environmental risk assessment. Ecotoxicology and Environmental Safety. 294. 118104–118104. 2 indexed citations

2.

Zheng, Yang, et al.. (2025). Bio-inspired intersecting-leaves flow field for proton exchange membrane fuel cells: A Murray’s law approach to optimizing sub-channel design for improved efficiency. Applied Thermal Engineering. 280. 128249–128249.

3.

Li, Demin, et al.. (2024). Interactions between dissolved organic matter with different molecular weights and nonylphenol in surface water bodies. Chemosphere. 367. 143592–143592. 1 indexed citations

4.

Nayak, N., et al.. (2020). Efficient neutrino oscillation parameter inference using Gaussian processes. Physical review. D. 101(1). 2 indexed citations

5.

Baldi, Pierre, et al.. (2019). Improved energy reconstruction in NOvA with regression convolutional neural networks. Physical review. D. 99(1). 17 indexed citations

6.

Bian, J. M.. (2019). Results and Prospects from NOvA. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 5–5. 1 indexed citations

7.

Wang, B., J. M. Bian, T. E. Coan, et al.. (2017). Muon Neutrino on Electron Elastic Scattering in the NOvA Near Detector and its Applications Beyond the Standard Model. Journal of Physics Conference Series. 888. 12123–12123. 6 indexed citations

8.

Baird, M., J. M. Bian, M. D. Messier, et al.. (2015). Event Reconstruction Techniques in NOvA. Journal of Physics Conference Series. 664(7). 72035–72035. 7 indexed citations

9.

Bian, J. M.. (2014). A Review of Heavy Exotic States. arXiv (Cornell University). 1 indexed citations

10.

Bian, J. M., V. V. Bytev, Ying Chen, et al.. (2009). Chapter 9 Meson Spectroscopy. International Journal of Modern Physics A. 24(supp01). 173–232. 1 indexed citations

11.

Bian, J. M., V. V. Bytev, Ying Chen, et al.. (2009). Chapter 12 Two-Photon Physics. International Journal of Modern Physics A. 24(supp01). 267–275. 2 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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