H. Qu

12.2k total citations
15 papers, 348 citations indexed

About

H. Qu is a scholar working on Nuclear and High Energy Physics, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, H. Qu has authored 15 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nuclear and High Energy Physics, 3 papers in Biomedical Engineering and 2 papers in Artificial Intelligence. Recurrent topics in H. Qu's work include Particle physics theoretical and experimental studies (9 papers), Particle Detector Development and Performance (5 papers) and High-Energy Particle Collisions Research (3 papers). H. Qu is often cited by papers focused on Particle physics theoretical and experimental studies (9 papers), Particle Detector Development and Performance (5 papers) and High-Energy Particle Collisions Research (3 papers). H. Qu collaborates with scholars based in China, Switzerland and United States. H. Qu's co-authors include L. Gouskos, Frédéric A. Dreyer, C. Li, Zhi-Ming Ma, Tie‐Yan Liu, Jue Zhang, Sitian Qian, C. Zhou, Yongfeng Zhu and Bo-Qiang Ma and has published in prestigious journals such as Physical Review Letters, Advanced Energy Materials and Computer Physics Communications.

In The Last Decade

H. Qu

13 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Qu China 6 273 108 34 24 21 15 348
V. M. Mikuni United States 13 325 1.2× 166 1.5× 25 0.7× 19 0.8× 35 1.7× 27 420
Juan Pavez Chile 7 187 0.7× 118 1.1× 13 0.4× 9 0.4× 22 1.0× 14 314
I. Kisel Germany 9 238 0.9× 51 0.5× 20 0.6× 36 1.5× 11 0.5× 61 328
S.‐C. Hsu United States 7 167 0.6× 64 0.6× 16 0.5× 12 0.5× 12 0.6× 33 229
Philip Harris United States 9 226 0.8× 106 1.0× 11 0.3× 15 0.6× 40 1.9× 21 357
Ramon Winterhalder Germany 7 185 0.7× 73 0.7× 6 0.2× 19 0.8× 16 0.8× 11 233
Frank Gaede Germany 12 428 1.6× 99 0.9× 17 0.5× 59 2.5× 45 2.1× 39 526
Dylan Rankin United States 8 81 0.3× 76 0.7× 9 0.3× 19 0.8× 39 1.9× 16 200
Erik Buhmann Germany 9 227 0.8× 95 0.9× 15 0.4× 8 0.3× 41 2.0× 12 290
T. Golling Switzerland 13 336 1.2× 90 0.8× 12 0.4× 12 0.5× 19 0.9× 34 388

Countries citing papers authored by H. Qu

Since Specialization
Citations

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

Fields of papers citing papers by H. Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Qu

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

All Works

15 of 15 papers shown
1.
Brehmer, Johann, et al.. (2025). A Lorentz-equivariant transformer for all of the LHC. SciPost Physics. 19(4). 4 indexed citations
2.
Qu, H., et al.. (2025). A flexible job shop scheduling method based on heterogeneous disjunctive graph and deep reinforcement learning. Engineering Applications of Artificial Intelligence. 158. 111356–111356. 1 indexed citations
3.
Liang, H., Yongfeng Zhu, X. M. Xia, et al.. (2025). One-to-one correspondence reconstruction at the electron-positron Higgs factory. Computer Physics Communications. 314. 109661–109661.
4.
Zhu, Yongfeng, et al.. (2024). ParticleNet and its application on CEPC jet flavor tagging. The European Physical Journal C. 84(2). 5 indexed citations
5.
Li, C., H. Qu, Sitian Qian, et al.. (2024). Does Lorentz-symmetric design boost network performance in jet physics?. Physical review. D. 109(5). 5 indexed citations
6.
Liang, H., et al.. (2024). Jet-Origin Identification and Its Application at an Electron-Positron Higgs Factory. Physical Review Letters. 132(22). 221802–221802. 12 indexed citations
7.
Chen, Hao, Huan Xia, H. Qu, et al.. (2024). Fabric‐Based Stretchable and Breathable Backscattered Monitoring System. Advanced Energy Materials. 15(14). 3 indexed citations
8.
Li, C., A. Agapitos, J. Duarte, et al.. (2024). Accelerating Resonance Searches via Signature-Oriented Pre-training. arXiv (Cornell University).
9.
Li, Jianing, et al.. (2024). A flexible wearable dual-frequency antenna of ISM band. 1–3. 1 indexed citations
10.
Gouskos, L., F. Iemmi, S. P. Liechti, et al.. (2023). Optimal transport for a novel event description at hadron colliders. Physical review. D. 108(9). 2 indexed citations
11.
Zhang, Jue, H. Qu, C. Li, et al.. (2022). An efficient Lorentz equivariant graph neural network for jet tagging. Journal of High Energy Physics. 2022(7). 70 indexed citations
12.
Qu, H., et al.. (2022). Knockout of cardiac troponin I‐interacting kinase leads to cardiac dysfunction and remodelling. Clinical and Experimental Pharmacology and Physiology. 49(11). 1169–1178. 2 indexed citations
13.
Dreyer, Frédéric A. & H. Qu. (2021). Jet tagging in the Lund plane with graph networks. Journal of High Energy Physics. 2021(3). 60 indexed citations
14.
Qu, H. & L. Gouskos. (2020). Jet tagging via particle clouds. Physical review. D. 101(5). 178 indexed citations
15.
Qu, H. & Bo-Qiang Ma. (2013). New mixing pattern for neutrinos. Physical review. D. Particles, fields, gravitation, and cosmology. 88(3). 5 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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