Yajun Mao

4.4k total citations · 1 hit paper
24 papers, 429 citations indexed

About

Yajun Mao is a scholar working on Water Science and Technology, Renewable Energy, Sustainability and the Environment and Nuclear and High Energy Physics. According to data from OpenAlex, Yajun Mao has authored 24 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Water Science and Technology, 6 papers in Renewable Energy, Sustainability and the Environment and 6 papers in Nuclear and High Energy Physics. Recurrent topics in Yajun Mao's work include Advanced oxidation water treatment (6 papers), Advanced Photocatalysis Techniques (6 papers) and Particle physics theoretical and experimental studies (5 papers). Yajun Mao is often cited by papers focused on Advanced oxidation water treatment (6 papers), Advanced Photocatalysis Techniques (6 papers) and Particle physics theoretical and experimental studies (5 papers). Yajun Mao collaborates with scholars based in China, United States and Pakistan. Yajun Mao's co-authors include Yuyuan Yao, Wangyang Lü, Lie Wang, Wenxing Chen, Zhenfu Huang, Lijie Sun, Shun Zhu, Bo-Qiang Ma, Sanqing Huang and Eugene T. Smith and has published in prestigious journals such as Biochemistry, Journal of Hazardous Materials and Chemical Communications.

In The Last Decade

Yajun Mao

22 papers receiving 423 citations

Hit Papers

Emerging artificial intelligence-driven precision therapi... 2025 2026 2025 5 10 15 20

Peers

Yajun Mao
Comparison fields: 5 of 60
  • Water Science and Technology 191
  • Renewable Energy, Sustainability and the Environment 184
  • Materials Chemistry 123
  • Biomedical Engineering 91
  • Organic Chemistry 51
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Citations per field, relative to Yajun Mao
Yajun Mao · 1×
Citations per year, relative to Yajun Mao
Yajun Mao · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 4
2 0
3
Emerging artificial intelligence-driven precision therapies in tumor drug resistance: recent advances, opportunities, and challenges breakdown →
22
4 1
5 4
6 2
7 2
8 1
9 1
10 18
11 13
12 59
13 53
14 31
15 7
16 2
17 6
18 4
19 7
20 23

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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