Quan Gan

1.5k total citations
25 papers, 404 citations indexed

About

Quan Gan is a scholar working on Aerospace Engineering, Radiation and Artificial Intelligence. According to data from OpenAlex, Quan Gan has authored 25 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Aerospace Engineering, 12 papers in Radiation and 8 papers in Artificial Intelligence. Recurrent topics in Quan Gan's work include Nuclear reactor physics and engineering (12 papers), Nuclear Physics and Applications (12 papers) and Radiation Detection and Scintillator Technologies (6 papers). Quan Gan is often cited by papers focused on Nuclear reactor physics and engineering (12 papers), Nuclear Physics and Applications (12 papers) and Radiation Detection and Scintillator Technologies (6 papers). Quan Gan collaborates with scholars based in China and United States. Quan Gan's co-authors include Minjie Wang, Da Zheng, Zheng Zhang, Zihao Ye, Qipeng Guo, Lingfan Yu, Chao Ma, Ziyue Huang, Yu Gai and Mufei Li and has published in prestigious journals such as IEEE Access, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and IEEE Transactions on Nuclear Science.

In The Last Decade

Quan Gan

24 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Quan Gan China	9	214	104	61	58	54	25	404
Jialong Xu China	8	147 0.7×	139 1.3×	93 1.5×	125 2.2×	71 1.3×	20	511
Edin Dolićanin Serbia	11	106 0.5×	99 1.0×	22 0.4×	45 0.8×	9 0.2×	28	348
William McLendon United States	6	93 0.4×	167 1.6×	19 0.3×	26 0.4×	7 0.1×	11	308
Ziyue Huang China	7	204 1.0×	128 1.2×	25 0.4×	30 0.5×	2 0.0×	15	377
Mohamed Wahib Japan	12	139 0.6×	88 0.8×	14 0.2×	10 0.2×	5 0.1×	55	403
Michael Hofmann Germany	8	69 0.3×	137 1.3×	17 0.3×	12 0.2×	4 0.1×	29	394
Majid Alkhambashi Egypt	10	91 0.4×	33 0.3×	47 0.8×	13 0.2×	3 0.1×	19	276
James Saunderson Australia	9	108 0.5×	54 0.5×	11 0.2×	21 0.4×	5 0.1×	32	281
Wan-Chi Siu Hong Kong	14	65 0.3×	599 5.8×	16 0.3×	8 0.1×	15 0.3×	75	810
Ying Qian China	12	76 0.4×	35 0.3×	35 0.6×	10 0.2×	5 0.1×	46	381

Countries citing papers authored by Quan Gan

Since Specialization

Citations

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

Fields of papers citing papers by Quan Gan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Gan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wu, Bin, Guangyao Sun, He Li, et al.. (2025). Development of TopMC 1.0 for nuclear technology applications. EPJ Nuclear Sciences & Technologies. 11. 6–6.

Wang, Qihong, et al.. (2024). A correction algorithm of geometric unsharpness for neutron radiographs via adaptive fusion and total variation. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1066. 169599–169599. 1 indexed citations

Cao, Chenglong, et al.. (2021). A 3-D Neutron Distribution Reconstruction Method Based on the Off-Situ Measurement for Reactor. IEEE Transactions on Nuclear Science. 68(12). 2694–2701. 4 indexed citations

Cao, Chenglong, et al.. (2021). A novel method for rapid calculation of moderated neutron spectrum and its application in deep penetration. Annals of Nuclear Energy. 168. 108895–108895. 6 indexed citations

Zheng, Da, Minjie Wang, Quan Gan, et al.. (2021). Scalable Graph Neural Networks with Deep Graph Library. 1141–1142. 17 indexed citations

Cao, Chenglong & Quan Gan. (2020). An adaptive optimization reverse regulation method for neutron spectrum based on standardized response module. Fusion Engineering and Design. 163. 112155–112155. 3 indexed citations

Zheng, Da, Minjie Wang, Quan Gan, Zheng Zhang, & George Karypis. (2020). Learning Graph Neural Networks with Deep Graph Library. 305–306. 10 indexed citations

Gan, Quan, et al.. (2020). A neutron field reconstruction method for reactor based on semi-supervised learning. Annals of Nuclear Energy. 152. 108020–108020. 3 indexed citations

Zheng, Da, et al.. (2020). Scalable Graph Neural Networks with Deep Graph Library. 3521–3522. 4 indexed citations

10.

Cao, Chenglong, Quan Gan, Jing Song, et al.. (2020). A two-step neutron spectrum unfolding method for fission reactors based on artificial neural network. Annals of Nuclear Energy. 139. 107219–107219. 12 indexed citations

11.

Gan, Quan, et al.. (2020). An adaptive regularized iterative FBP algorithm with high sharpness for irradiated fuel assembly reconstruction from few projections in FNCT. Annals of Nuclear Energy. 145. 107515–107515. 5 indexed citations

12.

Cao, Chenglong, Quan Gan, Jing Song, et al.. (2020). An adaptive deviation-resistant neutron spectrum unfolding method based on transfer learning. Nuclear Engineering and Technology. 52(11). 2452–2459. 9 indexed citations

13.

Gan, Quan, et al.. (2019). A MLEM-TV-MRP Algorithm for Fast Neutron Computed Tomography Reconstruction of High Statistical Noise and Sparse Sampling. IEEE Access. 8. 3397–3407. 3 indexed citations

14.

Wang, Minjie, Lingfan Yu, Da Zheng, et al.. (2019). Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs. arXiv (Cornell University). 260 indexed citations

15.

Gan, Quan, et al.. (2019). An artificial neural network based neutron field reconstruction method for reactor. Annals of Nuclear Energy. 138. 107195–107195. 12 indexed citations

16.

Ye, Zihao, Qipeng Guo, Quan Gan, & Zheng Zhang. (2019). SegTree Transformer: Iterative refinement of hierarchical features. 1 indexed citations

17.

Gan, Quan, et al.. (2019). Verification and application of SuperMC3.3 to lead-bismuth-cooled fast reactor. Nuclear Technology and Radiation Protection. 34(2). 122–128. 2 indexed citations

18.

Hu, Liqin, Pengcheng Long, Jing Song, et al.. (2019). SuperMC cloud for nuclear design and safety evaluation. Annals of Nuclear Energy. 134. 424–431. 8 indexed citations

19.

Na, Zhang & Quan Gan. (2014). Multi-Scale Compressed Ghost Imaging System. The Open Cybernetics & Systemics Journal. 8(1). 500–505. 1 indexed citations

20.

Wang, Guoyin, et al.. (2005). A rule generation algorithm based on granular computing. 102–107 Vol. 1. 8 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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