Kai Hong

3.0k total citations · 1 hit paper
53 papers, 2.4k citations indexed

About

Kai Hong is a scholar working on Organic Chemistry, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Kai Hong has authored 53 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Organic Chemistry, 12 papers in Artificial Intelligence and 8 papers in Molecular Biology. Recurrent topics in Kai Hong's work include Catalytic Cross-Coupling Reactions (18 papers), Catalytic C–H Functionalization Methods (16 papers) and Organoboron and organosilicon chemistry (16 papers). Kai Hong is often cited by papers focused on Catalytic Cross-Coupling Reactions (18 papers), Catalytic C–H Functionalization Methods (16 papers) and Organoboron and organosilicon chemistry (16 papers). Kai Hong collaborates with scholars based in China, United States and Malaysia. Kai Hong's co-authors include Jin‐Quan Yu, Hojoon Park, James P. Morken, Tuanjie Li, Fang‐Lin Zhang, Xun Liu, Liang Hu, Peng‐Xiang Shen, Qian Shao and Ani Nenkova and has published in prestigious journals such as Science, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Kai Hong

43 papers receiving 2.4k citations

Hit Papers

Functionalization of C(sp 3 )–H bonds using a transient d... 2016 2026 2019 2022 2016 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Functionalization of C(sp 3 )–H bonds using a transient directing group
    2016 608 citations Kai Hong, Hojoon Park et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Hong China 20 2.0k 568 199 191 125 53 2.4k
Xiaoyang Wang China 18 1.1k 0.5× 168 0.3× 95 0.5× 59 0.3× 95 0.8× 45 1.4k
Hee Nam Lim South Korea 16 1.0k 0.5× 245 0.4× 83 0.4× 42 0.2× 90 0.7× 49 1.2k
Alison B. Flynn Canada 23 691 0.3× 91 0.2× 99 0.5× 60 0.3× 42 0.3× 49 1.9k
Sinan Wang China 13 333 0.2× 87 0.2× 113 0.6× 23 0.1× 65 0.5× 39 601
Klaus Hartke Germany 20 1.6k 0.8× 185 0.3× 270 1.4× 12 0.1× 109 0.9× 205 2.0k
Ján Veselý Czechia 36 3.2k 1.6× 843 1.5× 772 3.9× 68 0.4× 217 1.7× 126 3.7k
Shu-Chen Lin Taiwan 8 397 0.2× 67 0.1× 95 0.5× 39 0.2× 40 0.3× 22 541
Daniel M. Lowe United Kingdom 8 280 0.1× 74 0.1× 368 1.8× 121 0.6× 28 0.2× 10 867
Akihiro Yamashita Japan 11 315 0.2× 77 0.1× 64 0.3× 67 0.4× 34 0.3× 34 546
Anna Iuliano Italy 21 698 0.3× 259 0.5× 352 1.8× 48 0.3× 24 0.2× 71 1.3k

Countries citing papers authored by Kai Hong

Since Specialization
Citations

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

Fields of papers citing papers by Kai Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Hong. A scholar is included among the top collaborators of Kai Hong 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 Kai Hong. Kai Hong 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
1.
Hong, Kai, Tengfei Zhang, Qing Li, et al.. (2025). Pd( ii )-catalyzed domino C–H addition/Heck reaction for stereoselective 3-alkylideneoxindole synthesis. Organic & Biomolecular Chemistry. 23(26). 6391–6399.
2.
Xu, Shuang, et al.. (2025). Synthesis of gem-Diborylcyclopropyl Ketones via Conjugate Addition of Chlorodiborylmethane to α,β-Unsaturated Ketones. Organic Letters. 27(15). 3893–3898. 8 indexed citations
3.
Xie, Xiaoyu, Wei Yi, Xinyi Chen, Ming Li, & Kai Hong. (2025). Palladium‐Catalyzed Gem ‐Diborylalkylation of Silyl Enol Ethers and N ‐Vinylacetamide via Diboryl Carbon‐Centered Radicals. Advanced Science. 12(38). e08566–e08566. 2 indexed citations
4.
5.
Li, Ming, Yi Wei, Du Chen, et al.. (2025). Construction of 1,3‐Diboryl Allenes from gem‐Iododiboron Compounds via Intermolecular Boryl Group Transfer†. Chinese Journal of Chemistry. 43(8). 949–955. 5 indexed citations
6.
Hong, Kai, et al.. (2024). Two-Stage Enhancement Network for Monocular Depth Estimation of Indoor Scenes. 495–498. 1 indexed citations
7.
8.
Yang, Yifei, et al.. (2024). Modular Synthesis of Geminal Iododiboron Compounds via Alkylation of Chlorodiborylmethane. Organic Letters. 26(48). 10285–10290. 8 indexed citations
9.
Chen, Xinyi, et al.. (2023). Facile Access to Cyclopropylboronates via Stereospecific Deborylative Cyclization: A Leaving Group‐Assisted Activation of Geminal Diborons. Angewandte Chemie International Edition. 62(21). e202302638–e202302638. 33 indexed citations
10.
11.
Hong, Kai, et al.. (2022). Joint intensity–gradient guided generative modeling for colorization. The Visual Computer. 39(12). 6537–6552. 1 indexed citations
12.
13.
Xiao, Li‐Jun, Kai Hong, Fan Luo, et al.. (2020). PdII‐Catalyzed Enantioselective C(sp3)–H Arylation of Cyclobutyl Ketones Using a Chiral Transient Directing Group. Angewandte Chemie International Edition. 59(24). 9594–9600. 89 indexed citations
14.
Shen, Peng‐Xiang, Liang Hu, Qian Shao, Kai Hong, & Jin‐Quan Yu. (2018). Pd(II)-Catalyzed Enantioselective C(sp3)–H Arylation of Free Carboxylic Acids. Journal of the American Chemical Society. 140(21). 6545–6549. 154 indexed citations
15.
Park, Hojoon, Pritha Verma, Kai Hong, & Jin‐Quan Yu. (2018). Controlling Pd(iv) reductive elimination pathways enables Pd(ii)-catalysed enantioselective C(sp3)−H fluorination. Nature Chemistry. 10(7). 755–762. 215 indexed citations
16.
Hong, Kai & Ani Nenkova. (2014). Improving the Estimation of Word Importance for News Multi-Document Summarization. 712–721. 86 indexed citations
17.
Hong, Kai, et al.. (2014). Lexical use in emotional autobiographical narratives of persons with schizophrenia and healthy controls. Psychiatry Research. 225(1-2). 40–49. 38 indexed citations
18.
Hong, Kai, Xun Liu, & James P. Morken. (2014). Simple Access to Elusive α-Boryl Carbanions and Their Alkylation: An Umpolung Construction for Organic Synthesis. Journal of the American Chemical Society. 136(30). 10581–10584. 277 indexed citations
19.
Xu, Yan, Kai Hong, Jun’ichi Tsujii, & Eric Chang. (2012). Feature engineering combined with machine learning and rule-based methods for structured information extraction from narrative clinical discharge summaries. Journal of the American Medical Informatics Association. 19(5). 824–832. 61 indexed citations
20.
Hong, Kai & James P. Morken. (2011). Catalytic Enantioselective Diboration of Cyclic Dienes. A Modified Ligand with General Utility. The Journal of Organic Chemistry. 76(21). 9102–9108. 35 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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