Kani Chen

890 citations
37 papers · 605 indexed · h-index 13

Impact in

Papers in

    • Statistical Methods and Inference 21
    • Statistical Methods and Bayesian Inference 15
    • Advanced Statistical Methods and Models 9
    • Advanced Causal Inference Techniques 5
    • Statistical Distribution Estimation and Applications 3
    • Bayesian Methods and Mixture Models 6

Kani Chen

35 papers receiving 580 citations

Peers

Kani Chen
Comparison fields: 5 of 100
  • Statistics and Probability 460
  • Management Science and Operations Research 53
  • Statistics, Probability and Uncertainty 28
  • Artificial Intelligence 111
  • Control and Systems Engineering 49
Replace D. Nolan with:
D. Nolan United States
Max G’Sell United States
Lu Lin China
Eitan Greenshtein Israel
Fengrong Wei United States
Chris Hans United States
Michael E. Welch United States
Haeran Cho United Kingdom
Kani Chen relative to D. Nolan United States D. Nolan's profile →
Citations per field
00.5×5.4×
D. Nolan · 1×
Citations per year

Countries citing papers authored by Kani Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kani Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201089
2 200181
3 201553
4 200542
5 199741
6 201832
7 200128
8 200626
9 201025
10 202021
11 201919
12 201418
13 202013
14
Rank estimation in partial linear model with censored data
200511
15 199611
16 199711
17 200110
18 20208
19 20137
20 19987

About Kani Chen

Kani Chen is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Finance and Computer Science Applications, having authored 37 papers that have together received 605 indexed citations. Recurring topics across this work include Statistical Methods and Inference (21 papers), Statistical Methods and Bayesian Inference (15 papers), Advanced Statistical Methods and Models (9 papers), Bayesian Methods and Mixture Models (6 papers), Advanced Causal Inference Techniques (5 papers), Statistical Distribution Estimation and Applications (3 papers), Spatial and Panel Data Analysis (3 papers) and Control Systems and Identification (2 papers). The work is most often cited by research in Statistics and Probability (460 citations), Management Science and Operations Research (53 citations), Statistics, Probability and Uncertainty (28 citations), Artificial Intelligence (111 citations) and Control and Systems Engineering (49 citations). Kani Chen has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Zhiliang Ying, Yuanyuan Lin, Zhezhen Jin, Shaw‐Hwa Lo, Shaojun Guo, Zhanfeng Wang, Zhihua Sun, Gang Li, Zhenqiu Liu and Jane-Ling Wang. Their work appears in journals such as Statistica Sinica, Journal of the American Statistical Association, Journal of the Royal Statistical Society Series B (Statistical Methodology), Journal of Multivariate Analysis and The Annals of Statistics.

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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