Yajun Mao

1.7k total citations
14 papers, 98 citations indexed

About

Yajun Mao is a scholar working on Nuclear and High Energy Physics, Radiation and Ecological Modeling. According to data from OpenAlex, Yajun Mao has authored 14 papers receiving a total of 98 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nuclear and High Energy Physics, 2 papers in Radiation and 2 papers in Ecological Modeling. Recurrent topics in Yajun Mao's work include Particle physics theoretical and experimental studies (8 papers), Particle Detector Development and Performance (4 papers) and Quantum Chromodynamics and Particle Interactions (4 papers). Yajun Mao is often cited by papers focused on Particle physics theoretical and experimental studies (8 papers), Particle Detector Development and Performance (4 papers) and Quantum Chromodynamics and Particle Interactions (4 papers). Yajun Mao collaborates with scholars based in China, France and Canada. Yajun Mao's co-authors include Lingyi Tang, Haoming Chen, Wenjing Song, Nicolas Chanon, Q. Li, A. Levin, M. Lu, Y. F. Wang, Weidong Li and Z. You and has published in prestigious journals such as Bioresource Technology, Scientific Reports and Journal of High Energy Physics.

In The Last Decade

Yajun Mao

9 papers receiving 95 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yajun Mao China 5 44 24 16 13 12 14 98
Y. Sun China 4 18 0.4× 34 1.4× 13 0.8× 21 1.6× 5 0.4× 6 105
B. Fuchs Germany 7 7 0.2× 42 1.8× 6 0.4× 15 1.2× 2 0.2× 13 110
M. Gao China 5 5 0.1× 6 0.3× 8 0.5× 12 0.9× 1 0.1× 23 56
P. Werner Switzerland 5 24 0.5× 11 0.5× 2 0.1× 1 0.1× 4 0.3× 10 91
X. Gao China 4 17 0.4× 4 0.2× 3 0.2× 3 0.2× 4 0.3× 18 69
Z. Sun China 10 181 4.1× 2 0.1× 2 0.1× 11 0.8× 4 0.3× 34 234
Michael William O'Keefe Australia 3 4 0.1× 6 0.3× 8 0.5× 25 1.9× 1 0.1× 3 49
D. Ferenček Croatia 3 15 0.3× 2 0.1× 5 0.3× 3 0.3× 3 41
F. Díaz Peru 10 30 0.7× 1 0.0× 1 0.1× 6 0.5× 3 0.3× 28 193

Countries citing papers authored by Yajun Mao

Since Specialization
Citations

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

Fields of papers citing papers by Yajun Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yajun Mao

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

All Works

14 of 14 papers shown
1.
Wang, Yongji, et al.. (2025). Prediction of the potentially suitable areas of Elymus dahuricus Turcz in China under climate change based on maxent. Scientific Reports. 15(1). 17959–17959. 1 indexed citations
2.
Sun, X., et al.. (2025). Probing triple Higgs production via 4τ2b decay channel at a 100 TeV hadron collider. Journal of High Energy Physics. 2025(8). 1 indexed citations
3.
Wang, Yongji, et al.. (2025). Predicting suitable habitats and conservation areas for Suaeda salsa using MaxEnt and Marxan models. iScience. 28(7). 112933–112933.
5.
Mao, Yajun, et al.. (2024). Spinal cord electrical stimulation for severe disturbance of consciousness after traumatic brain injury: A case report. Heliyon. 10(15). e34913–e34913. 1 indexed citations
6.
Tang, Lingyi, et al.. (2023). Prediction of heavy metals adsorption by hydrochars and identification of critical factors using machine learning algorithms. Bioresource Technology. 383. 129223–129223. 48 indexed citations
7.
Xiao, J., et al.. (2021). Vector Boson scattering from the compact muon solenoid (CMS) experiment at the large hadron collider. Zhongguo kexue. Wulixue Lixue Tianwenxue. 51(8). 81001–81001. 1 indexed citations
8.
Chanon, Nicolas, A. Levin, Li Jing, et al.. (2019). Polarization fraction measurement in same-sign WW scattering using deep learning. Physical review. D. 99(3). 17 indexed citations
9.
Chanon, Nicolas, et al.. (2019). Polarization fraction measurement in ZZ scattering using deep learning. Physical review. D. 100(11). 13 indexed citations
10.
Li, Weidong, Yajun Mao, & Y. F. Wang. (2009). Chapter 2 The BES-III Detector and Offline Software. International Journal of Modern Physics A. 24(supp01). 9–21. 9 indexed citations
11.
Han, Ran, et al.. (2008). An Approach to Extract the Spin Transfer to λ in Polarized Proton–Proton Collision. Chinese Physics Letters. 25(6). 1988–1991.
12.
Wang, Siguang, et al.. (2008). Method for unfolding multiplet regions of X- andγ-ray spectra with a detection efficiency constraint avoiding inflecting the peak shapes for correction results. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 600(2). 445–452. 1 indexed citations
13.
You, Z., et al.. (2008). A method for detector description exchange among ROOT GEANT4 and GEANT3. Chinese Physics C. 32(7). 572–575. 6 indexed citations
14.
Chen, Xun, Yajun Mao, & Bo-Qiang Ma. (2004). DECAY PROBABILITY RATIO OF PENTAQUARK Θ+ STATE. Modern Physics Letters A. 19(30). 2289–2297.

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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