Haomiao Jin

666 total citations
48 papers, 361 citations indexed

About

Haomiao Jin is a scholar working on General Health Professions, Endocrinology, Diabetes and Metabolism and Psychiatry and Mental health. According to data from OpenAlex, Haomiao Jin has authored 48 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in General Health Professions, 10 papers in Endocrinology, Diabetes and Metabolism and 10 papers in Psychiatry and Mental health. Recurrent topics in Haomiao Jin's work include Dementia and Cognitive Impairment Research (9 papers), Diabetes Management and Education (8 papers) and Health disparities and outcomes (8 papers). Haomiao Jin is often cited by papers focused on Dementia and Cognitive Impairment Research (9 papers), Diabetes Management and Education (8 papers) and Health disparities and outcomes (8 papers). Haomiao Jin collaborates with scholars based in United States, United Kingdom and Poland. Haomiao Jin's co-authors include Shinyi Wu, Stefan Schneider, Arie Kapteyn, Paul Di Capua, Pey-Jiuan Lee, Elizabeth A. Pyatak, Kathleen Ell, Shawn C. Roll, Brian Wu and Erik Meijer and has published in prestigious journals such as PLoS ONE, Diabetes Care and American Journal of Epidemiology.

In The Last Decade

Haomiao Jin

40 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haomiao Jin United States 11 100 75 68 67 64 48 361
Seung Hei Moon South Korea 10 177 1.8× 121 1.6× 55 0.8× 53 0.8× 64 1.0× 11 494
Cynthia M. Khan United States 10 54 0.5× 62 0.8× 25 0.4× 100 1.5× 29 0.5× 17 383
Cameron G. Shultz United States 6 120 1.2× 32 0.4× 57 0.8× 34 0.5× 26 0.4× 9 284
Natalie Bauereiß Germany 8 160 1.6× 24 0.3× 45 0.7× 37 0.6× 20 0.3× 12 398
Kamran Tavakol Iran 9 94 0.9× 23 0.3× 21 0.3× 60 0.9× 39 0.6× 41 438
Fangfang Zhao China 11 83 0.8× 177 2.4× 23 0.3× 39 0.6× 70 1.1× 37 489
Xiangren Yi China 14 69 0.7× 36 0.5× 25 0.4× 40 0.6× 16 0.3× 27 441
Koushik Sinha Deb India 9 69 0.7× 35 0.5× 20 0.3× 69 1.0× 18 0.3× 41 429
Felicia Forma United States 10 67 0.7× 108 1.4× 61 0.9× 39 0.6× 24 0.4× 32 455
Birgit Teufer Austria 8 47 0.5× 16 0.2× 64 0.9× 44 0.7× 29 0.5× 15 439

Countries citing papers authored by Haomiao Jin

Since Specialization
Citations

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

Fields of papers citing papers by Haomiao Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haomiao Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Haomiao Jin. A scholar is included among the top collaborators of Haomiao 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 Haomiao Jin. Haomiao 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
1.
Harris, Jenny, et al.. (2025). Early identification of cognitive impairment in older adults from Advanced Activities of Daily Living (AADL): A scoping review. Public Health. 246. 105822–105822. 1 indexed citations
2.
Stone, Arthur A., Elizabeth M. Zelinski, Erik Meijer, et al.. (2025). Evidence supports the validity and reliability of response times from a brief survey as a digital biomarker for processing speed in a large panel study. American Journal of Epidemiology. 194(11). 3208–3216.
3.
Jin, Haomiao, Pey-Jiuan Lee, Stefan Schneider, et al.. (2024). Attrition from longitudinal ageing studies and performance across domains of cognitive functioning: an individual participant data meta-analysis. BMJ Open. 14(3). e079241–e079241. 1 indexed citations
4.
Schneider, Stefan, Doerte U. Junghaenel, Haomiao Jin, et al.. (2024). Can you tell people’s cognitive ability level from their response patterns in questionnaires?. Behavior Research Methods. 56(7). 6741–6758. 1 indexed citations
5.
Xia, Wei, Michail Sideris, Oleg Blyuss, et al.. (2024). Utility Scores for Risk-Reducing Mastectomy and Risk-Reducing Salpingo-Oophorectomy: Mapping to EQ-5D. Cancers. 16(7). 1358–1358. 1 indexed citations
6.
Schneider, Stefan, et al.. (2024). Whole Day Workload: Evaluation of a New Outcome Measure in Occupational Therapy for Adults With Type 1 Diabetes. American Journal of Occupational Therapy. 78(5).
7.
Schneider, Stefan, Jenny Harris, Doerte U. Junghaenel, et al.. (2024). Early Identification of Cognitive Impairment in Community Environments Through Modeling Subtle Inconsistencies in Questionnaire Responses: Machine Learning Model Development and Validation. JMIR Formative Research. 8. e54335–e54335. 1 indexed citations
8.
Hoogendoorn, Claire J., Jeffrey S. Gonzalez, Haomiao Jin, et al.. (2023). Reliability and Validity of Noncognitive Ecological Momentary Assessment Survey Response Times as an Indicator of Cognitive Processing Speed in People’s Natural Environment: Intensive Longitudinal Study. JMIR mhealth and uhealth. 11. e45203–e45203. 8 indexed citations
9.
Jin, Haomiao, Eileen M. Crimmins, Kenneth M. Langa, Aparajit Ballav Dey, & Jinkook Lee. (2023). Estimating the Prevalence of Dementia in India Using a Semi-Supervised Machine Learning Approach. Neuroepidemiology. 57(1). 43–50. 2 indexed citations
10.
11.
Leventhal, Adam M., Junhan Cho, Lara A. Ray, et al.. (2022). Alcohol use trajectories among U.S. adults during the first 42 weeks of the COVID‐19 pandemic. Alcoholism Clinical and Experimental Research. 46(6). 1062–1072. 11 indexed citations
12.
Jin, Haomiao, et al.. (2022). Perception of whole day workload as a mediator between activity engagement and stress in workers with type 1 diabetes. Theoretical Issues in Ergonomics Science. 25(1). 67–85. 1 indexed citations
13.
Schneider, Stefan, Doerte U. Junghaenel, Erik Meijer, et al.. (2022). Quality of Survey Responses at Older Ages Predicts Cognitive Decline and Mortality Risk. Innovation in Aging. 6(3). igac027–igac027. 7 indexed citations
14.
Jin, Haomiao, et al.. (2021). Learning From Clinical Consensus Diagnosis in India to Facilitate Automatic Classification of Dementia: Machine Learning Study. JMIR Mental Health. 8(5). e27113–e27113. 9 indexed citations
15.
Mason, Tyler B., Kathryn E. Smith, Ross D. Crosby, et al.. (2021). Multi-state modeling of thought-shape fusion using ecological momentary assessment. Body Image. 39. 139–145. 3 indexed citations
16.
Pyatak, Elizabeth A., Cheryl Vigen, Haomiao Jin, et al.. (2021). Understanding Worker Well-Being Relative to High-Workload and Recovery Activities across a Whole Day: Pilot Testing an Ecological Momentary Assessment Technique. International Journal of Environmental Research and Public Health. 18(19). 10354–10354. 12 indexed citations
17.
18.
Hay, Joel W., Pey-Jiuan Lee, Haomiao Jin, et al.. (2017). Cost-Effectiveness of a Technology-Facilitated Depression Care Management Adoption Model in Safety-Net Primary Care Patients with Type 2 Diabetes. Value in Health. 21(5). 561–568. 18 indexed citations
19.
Jin, Haomiao, Shinyi Wu, & Paul Di Capua. (2015). Development of a Clinical Forecasting Model to Predict Comorbid Depression Among Diabetes Patients and an Application in Depression Screening Policy Making. Preventing Chronic Disease. 12. E142–E142. 34 indexed citations
20.
Jin, Haomiao, et al.. (2012). A cut-to-order strategy for one-dimensional cable cutting and a case study. Journal of the Chinese Institute of Industrial Engineers. 29(8). 572–586. 3 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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