Mu Li

6.0k citations
184 papers · 4.1k indexed · 1 hit paper · h-index 31

Impact in

Papers in

Mu Li

170 papers receiving 3.9k citations

Hit Papers

Can Mobile Phone Apps Influence People’s Health Behavior Change? An Evidence Review 2016 · 438 citations
4382016202620192022100200300400

Peers

Mu Li
Comparison fields: 5 of 208
  • Nutrition and Dietetics 612
  • Pediatrics, Perinatology and Child Health 772
  • Endocrinology, Diabetes and Metabolism 629
  • Applied Psychology 190
  • General Health Professions 695
Replace Domenico Cucinotta with:
Domenico Cucinotta Italy
Chaojie Liu China
Dongmei Li United States
Andrew Gray New Zealand
Hutan Ashrafian United Kingdom
George D. Kitas United Kingdom
Wim Janssens Belgium
Jerry W. Lee United States
Scott S. Emerson United States
Mu Li relative to Domenico Cucinotta Italy Domenico Cucinotta's profile →
Citations per field
00.5×1.5×2.2×
Domenico Cucinotta · 1×
Citations per year

Countries citing papers authored by Mu Li

Since Specialization
Citations

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

Fields of papers citing papers by Mu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20242
4 20241
5 20240
6 20233
7 20232
8 202113
9 202119
10 202126
11 20208
12 20208
13 202014
14 202044
15 201911
16 20184
17 201718
18 2012177
19
The Characteristics of Simulated Hypervelocity Impact on PTFE Film
20104
20 200828

About Mu Li

Mu Li is a scholar working on Pediatrics, Perinatology and Child Health, Nutrition and Dietetics, Business and International Management, General Health Professions and Endocrinology, Diabetes and Metabolism, having authored 184 papers that have together received 4.1k indexed citations. Recurring topics across this work include Breastfeeding Practices and Influences (23 papers), Child Nutrition and Water Access (21 papers), Thyroid Disorders and Treatments (19 papers), Public Health and Nutrition (18 papers), Obesity, Physical Activity, Diet (16 papers), Mobile Health and mHealth Applications (14 papers), Child Development and Digital Technology (8 papers) and Global Maternal and Child Health (7 papers). The work is most often cited by research in Nutrition and Dietetics (612 citations), Pediatrics, Perinatology and Child Health (772 citations), Endocrinology, Diabetes and Metabolism (629 citations), Applied Psychology (190 citations) and General Health Professions (695 citations). Mu Li has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Jing Zhao, Becky Freeman, Creswell J Eastman, Louise A. Baur, Cut Novianti Rachmi, Kingsley Agho, Antonio Dávila, George Foster, Gary Ma and Steven Boyages. Their work appears in journals such as The Medical Journal of Australia, JMIR mhealth and uhealth, International Journal of Environmental Research and Public Health, Frontiers in Public Health and Nutrients.

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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