Inchi Hu

653 citations
43 papers · 390 · h-index 11

Impact in

Papers in

    • Genetic Associations and Epidemiology 13
    • Genomics and Rare Diseases 6
    • Bioinformatics and Genomic Networks 7

Inchi Hu

42 papers receiving 361 citations

Peers

Inchi Hu
Comparison fields: 5 of 83
  • Statistics and Probability 130
  • Statistics, Probability and Uncertainty 49
  • Management Science and Operations Research 81
  • Finance 51
  • Genetics 71
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Citations per field
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Citations per year

Countries citing papers authored by Inchi Hu

Since Specialization
Citations

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

Fields of papers citing papers by Inchi Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199965
2 201239
3 199430
4 199822
5 201619
6 201119
7
Invited Discussion of "Sequential Analysis: Some Classical Problems and New Challenges
200118
8 201113
9 200713
10 199712
11 200310
12 198810
13 19969
14 20219
15 19859
16 19978
17 19987
18 20007
19 19897
20
Option Pricing in a Black-Scholes Model with Markov Stwiching
20007

About Inchi Hu

Inchi Hu is a scholar working on Genetics, Molecular Biology, Statistics and Probability, Management Science and Operations Research and Artificial Intelligence, having authored 43 papers that have together received 390 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (13 papers), Bioinformatics and Genomic Networks (7 papers), Statistical Methods and Inference (6 papers), Genomics and Rare Diseases (6 papers), Advanced Statistical Methods and Models (4 papers), Reinforcement Learning in Robotics (4 papers), Stochastic processes and financial applications (4 papers) and Financial Risk and Volatility Modeling (4 papers). The work is most often cited by research in Statistics and Probability (130 citations), Statistics, Probability and Uncertainty (49 citations), Management Science and Operations Research (81 citations), Finance (51 citations) and Genetics (71 citations). Inchi Hu has collaborated with scholars based in Hong Kong, United States and Taiwan. Frequent co-authors include Cheng–Der Fuh, Zhiliang Ying, Maggie Haitian Wang, Tian Zheng, Shaw‐Hwa Lo, Benny Zee, Rui Sun, Gopal K. Basak, Chen-Yu Wei and Kani Chen. Their work appears in journals such as The Annals of Statistics, Statistica Sinica, Biometrika, Genetic Epidemiology and Stochastic Processes and their Applications.

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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