Mengjun Hu

752 citations
58 papers · 469 · h-index 12

Impact in

Papers in

Mengjun Hu

52 papers receiving 457 citations

Peers

Mengjun Hu
Comparison fields: 5 of 95
  • Ophthalmology 44
  • Atomic and Molecular Physics, and Optics 168
  • Artificial Intelligence 163
  • Civil and Structural Engineering 83
  • Molecular Medicine 16
Replace Taiki Saito with:
Taiki Saito Japan
Shifeng Jiang France
Xinzi Sun United States
A. Mermoud Switzerland
W. Zhang China
Qi Zheng China
Shuai Chang China
Jiuai Sun China
Mengjun Hu relative to Taiki Saito Japan Taiki Saito's profile →
Citations per field
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Taiki Saito · 1×
Citations per year

Countries citing papers authored by Mengjun Hu

Since Specialization
Citations

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

Fields of papers citing papers by Mengjun Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mengjun Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mengjun Hu Line = papers co-authored together Mengjun Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201867
2
Pro-angiogenic effect of IFNgamma is dependent on the PI3K/mTOR/translational pathway in human retinal pigmented epithelial cells.
201038
3 202332
4 202228
5 202127
6 202425
7 201323
8 202017
9 201117
10 201813
11 202311
12 201111
13 201610
14 201910
15 20199
16 20248
17
Experimental Sharing of Nonlocality among Multiple Observers with One Entangled Pair via Optimal Weak Measurements
20167
18 20237
19 20177
20 20237

About Mengjun Hu

Mengjun Hu is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Materials Chemistry, Civil and Structural Engineering and Oncology, having authored 58 papers that have together received 469 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (16 papers), Concrete and Cement Materials Research (13 papers), Quantum Computing Algorithms and Architecture (11 papers), Quantum Mechanics and Applications (10 papers), Magnesium Oxide Properties and Applications (9 papers), Concrete Corrosion and Durability (4 papers), Innovative concrete reinforcement materials (3 papers) and Metal and Thin Film Mechanics (3 papers). The work is most often cited by research in Ophthalmology (44 citations), Atomic and Molecular Physics, and Optics (168 citations), Artificial Intelligence (163 citations), Civil and Structural Engineering (83 citations) and Molecular Medicine (16 citations). Mengjun Hu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yong-Sheng Zhang, Chuan‐Feng Li, Xiao‐Min Hu, Robert B. Nussenblatt, Shaochun Li, Yongjuan Geng, Guang−Can Guo, Guang‐Can Guo, Baoying Liu and Zhi‐Yuan Zhou. Their work appears in journals such as Physical review. A, Journal of Building Engineering, Construction and Building Materials, Case Studies in Construction Materials and Chinese Physics Letters.

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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