Han‐Jun Ai

769 citations
29 papers · 639 · h-index 17

Impact in

Papers in

    • Catalytic C–H Functionalization Methods 23
    • Catalytic Cross-Coupling Reactions 13
    • Radical Photochemical Reactions 8
    • Sulfur-Based Synthesis Techniques 7
    • Chemical Synthesis and Reactions 7
    • Fluorine in Organic Chemistry 6

Han‐Jun Ai

28 papers receiving 630 citations

Peers

Han‐Jun Ai
Comparison fields: 5 of 27
  • Process Chemistry and Technology 101
  • Pharmaceutical Science 173
  • Organic Chemistry 571
  • Inorganic Chemistry 157
  • Toxicology 10
Replace Fengqian Zhao with:
Fengqian Zhao China
Yang Shi China
Xinxin Qi China
Bilguun Bayarmagnai Germany
Samuel N. Gockel United States
Jian Han China
Fang Luo China
José Tiago Menezes Correia Brazil
Johannes Schörgenhumer Austria
Roshan K. Dhungana United States
Han‐Jun Ai relative to Fengqian Zhao China Fengqian Zhao's profile →
Citations per field
00.5×
Fengqian Zhao · 1×
Citations per year

Countries citing papers authored by Han‐Jun Ai

Since Specialization
Citations

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

Fields of papers citing papers by Han‐Jun Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Han‐Jun Ai. 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 Han‐Jun Ai. The network helps show where Han‐Jun Ai may publish in the future.

Co-authors

The 25 scholars most cited alongside Han‐Jun Ai, 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 Han‐Jun Ai Line = papers co-authored together Han‐Jun Ai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021118
2 202151
3 202148
4 202238
5 202037
6 202235
7 201728
8 202025
9 201923
10 201823
11 202021
12 202319
13 201819
14 201719
15 202218
16 202317
17 202116
18 201716
19 202315
20 202412

About Han‐Jun Ai

Han‐Jun Ai is a scholar working on Organic Chemistry, Pharmaceutical Science, Process Chemistry and Technology, Inorganic Chemistry and Molecular Biology, having authored 29 papers that have together received 639 indexed citations. Recurring topics across this work include Catalytic C–H Functionalization Methods (23 papers), Catalytic Cross-Coupling Reactions (13 papers), Radical Photochemical Reactions (8 papers), Sulfur-Based Synthesis Techniques (7 papers), Chemical Synthesis and Reactions (7 papers), Fluorine in Organic Chemistry (6 papers), Asymmetric Hydrogenation and Catalysis (5 papers) and Carbon dioxide utilization in catalysis (5 papers). The work is most often cited by research in Process Chemistry and Technology (101 citations), Pharmaceutical Science (173 citations), Organic Chemistry (571 citations), Inorganic Chemistry (157 citations) and Toxicology (10 citations). Han‐Jun Ai has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Xiao‐Feng Wu, Fengqian Zhao, Xingxing Ma, Qiuling Song, Jin‐Bao Peng, Xinxin Qi, Wangyang Lü, Hui‐Qing Geng, Jun Ying and Youcan Zhang. Their work appears in journals such as Angewandte Chemie International Edition, European Journal of Organic Chemistry, ACS Catalysis, Journal of the American Chemical Society and Tetrahedron 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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