Chongzhi Di

3.6k total citations
82 papers, 2.1k citations indexed

About

Chongzhi Di is a scholar working on Physiology, Public Health, Environmental and Occupational Health and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Chongzhi Di has authored 82 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Physiology, 26 papers in Public Health, Environmental and Occupational Health and 12 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Chongzhi Di's work include Physical Activity and Health (42 papers), Obesity, Physical Activity, Diet (20 papers) and Cardiovascular and exercise physiology (11 papers). Chongzhi Di is often cited by papers focused on Physical Activity and Health (42 papers), Obesity, Physical Activity, Diet (20 papers) and Cardiovascular and exercise physiology (11 papers). Chongzhi Di collaborates with scholars based in United States, Australia and South Africa. Chongzhi Di's co-authors include Ciprian M. Crainiceanu, Andrea Z. LaCroix, Kelly R. Evenson, David M. Büchner, Michael J. LaMonte, Brian Caffo, Naresh M. Punjabi, Eileen Rillamas‐Sun, John Bellettiere and I‐Min Lee and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Chongzhi Di

74 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chongzhi Di United States 25 859 607 267 215 164 82 2.1k
Cécile Proust‐Lima France 36 656 0.8× 520 0.9× 673 2.5× 167 0.8× 114 0.7× 106 4.0k
Alessio Crippa Sweden 23 550 0.6× 635 1.0× 47 0.2× 135 0.6× 110 0.7× 49 2.5k
Vadim Zipunnikov United States 24 759 0.9× 422 0.7× 127 0.5× 200 0.9× 31 0.2× 81 1.9k
Michael Griswold United States 43 1.2k 1.4× 532 0.9× 87 0.3× 416 1.9× 158 1.0× 188 5.6k
Philip M. Westgate United States 26 613 0.7× 169 0.3× 265 1.0× 97 0.5× 181 1.1× 135 2.4k
J.E. Shaw Australia 22 1.3k 1.5× 1.2k 1.9× 223 0.8× 338 1.6× 133 0.8× 51 4.9k
Jonathan D. Mahnken United States 31 782 0.9× 368 0.6× 32 0.1× 180 0.8× 130 0.8× 143 3.6k
Timothy Collier United Kingdom 34 268 0.3× 487 0.8× 293 1.1× 199 0.9× 86 0.5× 80 3.8k
J. Cai United States 22 400 0.5× 548 0.9× 441 1.7× 162 0.8× 81 0.5× 49 2.3k

Countries citing papers authored by Chongzhi Di

Since Specialization
Citations

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

Fields of papers citing papers by Chongzhi Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chongzhi Di

This figure shows the co-authorship network connecting the top 25 collaborators of Chongzhi Di. A scholar is included among the top collaborators of Chongzhi Di 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 Chongzhi Di. Chongzhi Di 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.
Hyde, Eric T., Kelly R. Evenson, Annie Green Howard, et al.. (2025). Sitting time and risk of cancer incidence and cancer mortality in postmenopausal women: the Women’s Health Accelerometry Collaboration. Cancer Causes & Control. 36(11). 1417–1430.
2.
Cuthbertson, Carmen C., Kelly R. Evenson, Christopher C. Moore, et al.. (2024). Associations of steps per day and step intensity with the risk of cancer: Findings from the Women's Health Accelerometry Collaboration cohort. Preventive Medicine. 186. 108070–108070. 2 indexed citations
3.
Hyde, Eric T., Steve Nguyen, Michael J. LaMonte, et al.. (2024). Influence of physical activity measurement on the association between Life’s Essential 8 and incident cardiovascular disease in older women. Preventive Medicine Reports. 47. 102904–102904.
4.
Hartman, Sheri J., Chongzhi Di, Jingjing Zou, et al.. (2024). Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors. International Journal of Behavioral Nutrition and Physical Activity. 21(1). 48–48. 2 indexed citations
5.
6.
LaMonte, Michael J., Andrea Z. LaCroix, Steve Nguyen, et al.. (2024). Accelerometer-Measured Physical Activity, Sedentary Time, and Heart Failure Risk in Women Aged 63 to 99 Years. JAMA Cardiology. 9(4). 336–336. 9 indexed citations
7.
Howard, Annie Green, et al.. (2024). A systematic scoping review of latent class analysis applied to accelerometry-assessed physical activity and sedentary behavior. PLoS ONE. 19(1). e0283884–e0283884. 2 indexed citations
8.
Nguyen, Steve, John Bellettiere, Chongzhi Di, et al.. (2024). Prospective Associations of Accelerometer‐Measured Machine‐Learned Sedentary Behavior With Death Among Older Women: The OPACH Study. Journal of the American Heart Association. 13(5). e031156–e031156.
11.
Zou, Jingjing, et al.. (2022). Longitudinal Associations Between Timing of Physical Activity Accumulation and Health: Application of Functional Data Methods. Statistics in Biosciences. 15(2). 309–329. 4 indexed citations
12.
Wang, Guangxing, et al.. (2022). Robust Functional Principal Component Analysis via a Functional Pairwise Spatial Sign Operator. Biometrics. 79(2). 1239–1253. 7 indexed citations
13.
Bricker, Jonathan B., et al.. (2022). Smoking Cessation Smartphone App Use Over Time: Predicting 12-Month Cessation Outcomes in a 2-Arm Randomized Trial. Journal of Medical Internet Research. 24(8). e39208–e39208. 23 indexed citations
14.
Evenson, Kelly R., John Bellettiere, Carmen C. Cuthbertson, et al.. (2021). Cohort profile: the Women’s Health Accelerometry Collaboration. BMJ Open. 11(11). e052038–e052038. 15 indexed citations
15.
Chow, Eric J., David R. Doody, Chongzhi Di, et al.. (2020). Feasibility of a behavioral intervention using mobile health applications to reduce cardiovascular risk factors in cancer survivors: a pilot randomized controlled trial. Journal of Cancer Survivorship. 15(4). 554–563. 26 indexed citations
16.
Reuter, Chase, John Bellettiere, Sandy Liles, et al.. (2020). Diurnal patterns of sedentary behavior and changes in physical function over time among older women: a prospective cohort study. International Journal of Behavioral Nutrition and Physical Activity. 17(1). 88–88. 13 indexed citations
17.
Bricker, Jonathan B., Kristin E. Mull, Jaimee L. Heffner, et al.. (2018). Trajectories of 12-Month Usage Patterns for Two Smoking Cessation Websites: Exploring How Users Engage Over Time. Journal of Medical Internet Research. 20(4). e10143–e10143. 14 indexed citations
18.
Di, Chongzhi & Kung‐Yee Liang. (2014). On Likelihood Ratio Tests When Nuisance Parameters are Present Only Under the Alternative. Statistical Science. 1 indexed citations
19.
Kratz, Mario, Santica Marcovina, James E. Nelson, et al.. (2014). Dairy fat intake is associated with glucose tolerance, hepatic and systemic insulin sensitivity, and liver fat but not β-cell function in humans. American Journal of Clinical Nutrition. 99(6). 1385–1396. 74 indexed citations
20.
Nestadt, Gerald, Chongzhi Di, Mark A. Riddle, et al.. (2008). Obsessive–compulsive disorder: subclassification based on co-morbidity. Psychological Medicine. 39(9). 1491–1501. 87 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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