Hua Jin

1.9k total citations · 1 hit paper
43 papers, 1.5k citations indexed

About

Hua Jin is a scholar working on Statistics and Probability, Management Science and Operations Research and Epidemiology. According to data from OpenAlex, Hua Jin has authored 43 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics and Probability, 8 papers in Management Science and Operations Research and 7 papers in Epidemiology. Recurrent topics in Hua Jin's work include Statistical Methods and Inference (12 papers), Statistical Methods in Clinical Trials (10 papers) and Advanced Statistical Methods and Models (10 papers). Hua Jin is often cited by papers focused on Statistical Methods and Inference (12 papers), Statistical Methods in Clinical Trials (10 papers) and Advanced Statistical Methods and Models (10 papers). Hua Jin collaborates with scholars based in China, United States and Canada. Hua Jin's co-authors include William T. Liu, Paul S. Levy, Melville R. Klauber, Zhenyu Wang, David P. Salmon, Elena S. H. Yu, Robert Katzman, Igor Grant, Guojun Cai and Mingyuan Zhang and has published in prestigious journals such as Annals of Neurology, Scientific Reports and Biometrics.

In The Last Decade

Hua Jin

43 papers receiving 1.4k citations

Hit Papers

The prevalence of dementia and Alzheimer's disease in Sha... 1990 2026 2002 2014 1990 250 500 750
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. The prevalence of dementia and Alzheimer's disease in Shanghai, China: Impact of age, gender, and education
    1990 825 citations Mingyuan Zhang, Robert Katzman et al. Annals of Neurology profile →

Peers

Hua Jin
Sonja Zehetmayer Austria
Marta S. Mendiondo United States
Birol Emir United States
Shubhabrata Mukherjee United States
Kazushi Maruo Japan
Norbert Benda Germany
Laura Ación United States
Shelli R. Kesler United States
Silvan Licher Netherlands
J. Scott Andrews United States
Sonja Zehetmayer Austria
Hua Jin
Citations per year, relative to Hua Jin Hua Jin (= 1×) peers Sonja Zehetmayer

Countries citing papers authored by Hua Jin

Since Specialization
Citations

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

Fields of papers citing papers by Hua Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Jin. A scholar is included among the top collaborators of Hua Jin 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 Hua Jin. Hua Jin 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
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Wang, Zhining, et al.. (2021). An IM-based efficient test for non inferiority of the odds ratio between two independent binomial proportions. Communication in Statistics- Theory and Methods. 52(4). 1217–1236. 1 indexed citations
4.
Tian, Lü, Hua Jin, Hajime Uno, et al.. (2020). On the empirical choice of the time window for restricted mean survival time. Biometrics. 76(4). 1157–1166. 58 indexed citations
5.
Lee, Ellen, Dorothy D. Sears, Jinyuan Liu, et al.. (2019). A novel biomarker of cardiometabolic pathology in schizophrenia?. Journal of Psychiatric Research. 117. 31–37. 12 indexed citations
6.
Wang, Linghua, et al.. (2017). An efficient test based on the inferential model for the non-inferiority of odds ratio in matched-pairs design. Statistical Methods in Medical Research. 27(9). 2831–2841. 6 indexed citations
7.
Jin, Hua, et al.. (2017). Wavefront aberrations and retinal image quality in different lenticular opacity types and densities. Scientific Reports. 7(1). 15247–15247. 11 indexed citations
8.
Chen, Weiquan & Hua Jin. (2012). A new non-inferiority test based on Bayesian estimation in matched-pairs design. Statistics and Its Interface. 5(4). 443–449. 7 indexed citations
9.
Jin, Hua & Zhen Wei. (2012). A new adaptive design based on Simon's two-stage optimal design for phase II clinical trials. Contemporary Clinical Trials. 33(6). 1255–1260. 12 indexed citations
10.
Jin, Hua, J. Hampton Atkinson, Nichole A. Duarte, et al.. (2012). Risks and Predictors of Current Suicidality in HIV-Infected Heroin Users in Treatment in Yunnan, China. JAIDS Journal of Acquired Immune Deficiency Syndromes. 62(3). 311–316. 24 indexed citations
11.
Guo, Xiaofeng, Jinguo Zhai, Elizabeth W. Twamley, et al.. (2011). Neurocognitive effects of first- and second-generation antipsychotic drugs in early-stage schizophrenia: A naturalistic 12-month follow-up study. Neuroscience Letters. 503(2). 141–146. 27 indexed citations
12.
Jin, Hua & Ying Lü. (2009). The optimal linear combination of multiple predictors under the generalized linear models. Statistics & Probability Letters. 79(22). 2321–2327. 15 indexed citations
13.
Jin, Hua & Ying Lü. (2009). A non-inferiority test of areas under two parametric ROC curves. Contemporary Clinical Trials. 30(4). 375–379. 12 indexed citations
14.
Jin, Hua & Ying Lü. (2008). The ROC region of a regression tree. Statistics & Probability Letters. 79(7). 936–942. 7 indexed citations
15.
Jin, Hua. (2007). Alternative designs of phase II trials considering response and toxicity. Contemporary Clinical Trials. 28(4). 525–531. 14 indexed citations
16.
Lü, Ying, et al.. (2005). Reduction of sampling bias of odds ratios for vertebral fractures using propensity scores. Osteoporosis International. 17(4). 507–520. 4 indexed citations
17.
Li, Xiaojuan, Hua Jin, Ying Lü, et al.. (2004). Identification of MRI and 1H MRSI parameters that may predict survival for patients with malignant gliomas. NMR in Biomedicine. 17(1). 10–20. 76 indexed citations
18.
Lü, Ying, Hua Jin, & Harry K. Genant. (2003). On the non‐inferiority of a diagnostic test based on paired observations. Statistics in Medicine. 22(19). 3029–3044. 19 indexed citations
19.
Zhang, Mingyuan, Robert Katzman, David P. Salmon, et al.. (1990). The prevalence of dementia and Alzheimer's disease in Shanghai, China: Impact of age, gender, and education. Annals of Neurology. 27(4). 428–437. 825 indexed citations breakdown →
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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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