Dingxi Bai

637 citations
31 papers · 398 · h-index 9

Impact in

Papers in

Dingxi Bai

26 papers receiving 386 citations

Peers

Dingxi Bai
Comparison fields: 5 of 81
  • Health Informatics 23
  • Leadership and Management 5
  • Reproductive Medicine 29
  • Clinical Psychology 60
  • Health 18
Replace Sang-Dol Kim with:
Sang-Dol Kim South Korea
Şebnem Çınar Yücel Türkiye
Nicole Andrews Australia
Umberto Granziol Italy
Aleksandra Kroemeke Poland
Jakir Hossain Bhuiyan Masud Bangladesh
Chidiebere Emmanuel Okechukwu Italy
Sharon L. Dormire United States
Kate M. Rancourt Canada
Lauren Clevenger United States
Dingxi Bai relative to Sang-Dol Kim South Korea Sang-Dol Kim's profile →
Citations per field
00.5×5.8×
Sang-Dol Kim · 1×
Citations per year

Countries citing papers authored by Dingxi Bai

Since Specialization
Citations

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

Fields of papers citing papers by Dingxi Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A study on the reliability and the validity of Korean version of the Beck Depression Inventory-II (BDI-II)
2008148
2 202344
3 202137
4 202224
5 202323
6 201821
7 202320
8 201616
9 202310
10 20248
11 20197
12 20226
13 20225
14 20255
15 20244
16 20234
17 20233
18 20232
19 20232
20 20232

About Dingxi Bai

Dingxi Bai is a scholar working on General Health Professions, Rehabilitation, Geriatrics and Gerontology, Occupational Therapy and Health, having authored 31 papers that have together received 398 indexed citations. Recurring topics across this work include Frailty in Older Adults (3 papers), Wound Healing and Treatments (2 papers), Ethics in medical practice (2 papers), Religion, Spirituality, and Psychology (2 papers), Cancer survivorship and care (2 papers), Pressure Ulcer Prevention and Management (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers) and Endometriosis Research and Treatment (1 paper). The work is most often cited by research in Health Informatics (23 citations), Leadership and Management (5 citations), Reproductive Medicine (29 citations), Clinical Psychology (60 citations) and Health (18 citations). Dingxi Bai has collaborated with scholars based in China, Norway and Australia. Frequent co-authors include Jing Gao, Joon Bum Kim, SH Lee, Qiao Wu, Xinyu Chen, Qing Liao, Xiaolian Jiang, Wei Wang, Chenxi Wu and Xiaoyan Gong. Their work appears in journals such as Nurse Education Today, Stem Cell Research & Therapy, BMJ Open, International Journal of Mental Health Nursing and Frontiers in Aging Neuroscience.

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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