Han‐Jun Ai

794 citations
30 papers · 676 · h-index 18

Impact in

Papers in

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

Han‐Jun Ai

30 papers receiving 669 citations

Peers

Han‐Jun Ai
Comparison fields: 5 of 29
  • Process Chemistry and Technology 102
  • Pharmaceutical Science 176
  • Organic Chemistry 590
  • Inorganic Chemistry 165
  • Toxicology 11
Replace Kanako Nozawa‐Kumada with:
Kanako Nozawa‐Kumada Japan
Fengqian Zhao China
Xinxin Qi China
Yang Shi China
Bilguun Bayarmagnai Germany
Yingsheng Zhao China
Dong‐Hang Tan China
Fang Luo China
Samuel N. Gockel United States
Lijun Gu China
Han‐Jun Ai relative to Kanako Nozawa‐Kumada Japan Kanako Nozawa‐Kumada's profile →
Citations per field
00.5×1.5×1.8×
Kanako Nozawa‐Kumada · 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021120
2 202154
3 202150
4 202243
5 202039
6 202237
7 201730
8 202025
9 201924
10 201823
11 202022
12 201719
13 202219
14 201819
15 202319
16 202318
17 202418
18 202117
19 201716
20 202316

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 30 papers that have together received 676 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), Chemical Synthesis and Reactions (8 papers), Sulfur-Based Synthesis Techniques (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 (102 citations), Pharmaceutical Science (176 citations), Organic Chemistry (590 citations), Inorganic Chemistry (165 citations) and Toxicology (11 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 ACS Catalysis, European Journal of Organic Chemistry, Angewandte Chemie International Edition, CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION) and Journal of Catalysis.

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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