Zhida Shang

685 total citations · 1 hit paper
10 papers, 269 citations indexed

About

Zhida Shang is a scholar working on Sociology and Political Science, General Health Professions and Clinical Psychology. According to data from OpenAlex, Zhida Shang has authored 10 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sociology and Political Science, 3 papers in General Health Professions and 3 papers in Clinical Psychology. Recurrent topics in Zhida Shang's work include Delphi Technique in Research (3 papers), Employment and Welfare Studies (2 papers) and Orthopaedic implants and arthroplasty (1 paper). Zhida Shang is often cited by papers focused on Delphi Technique in Research (3 papers), Employment and Welfare Studies (2 papers) and Orthopaedic implants and arthroplasty (1 paper). Zhida Shang collaborates with scholars based in Canada, United States and United Kingdom. Zhida Shang's co-authors include Jennifer Y. Kim, Antonia Arnaert, Ronghua Xu, Lizhen Cui, Sebastian Demyttenaere, Adam G. Hart, Michael Tänzer, Yonghui Xu, Jorge Chahla and Andrew G. Geeslin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Management Studies and Medicine.

In The Last Decade

Zhida Shang

10 papers receiving 266 citations

Hit Papers

Use of Delphi in health sciences research: A narrative re... 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhida Shang Canada 6 89 47 47 41 31 10 269
Fuad H. Abuadas Saudi Arabia 8 51 0.6× 65 1.4× 17 0.4× 45 1.1× 56 1.8× 25 242
Neil G. Barr Canada 7 29 0.3× 81 1.7× 50 1.1× 39 1.0× 13 0.4× 14 268
George Higginbotham United Kingdom 6 32 0.4× 60 1.3× 83 1.8× 28 0.7× 10 0.3× 14 276
Jay Kotecha United Kingdom 5 33 0.4× 57 1.2× 65 1.4× 28 0.7× 6 0.2× 13 248
Joshua Erhabor United Kingdom 6 36 0.4× 58 1.2× 70 1.5× 29 0.7× 6 0.2× 8 247
Javier González United States 12 49 0.6× 266 5.7× 46 1.0× 86 2.1× 16 0.5× 28 411
Jeremy M. Asch United States 7 23 0.3× 121 2.6× 118 2.5× 21 0.5× 15 0.5× 8 321
Robert Robinson United States 11 35 0.4× 80 1.7× 35 0.7× 18 0.4× 8 0.3× 34 336
Krysia Warren Hudson United States 9 56 0.6× 79 1.7× 81 1.7× 35 0.9× 10 0.3× 20 412
Mari Tietze United States 10 23 0.3× 98 2.1× 68 1.4× 41 1.0× 11 0.4× 33 296

Countries citing papers authored by Zhida Shang

Since Specialization
Citations

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

Fields of papers citing papers by Zhida Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhida Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhida Shang. A scholar is included among the top collaborators of Zhida Shang 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 Zhida Shang. Zhida Shang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Li, Chuanyu, et al.. (2025). Efficient Seizure Detection by Complementary Integration of Convolutional Neural Network and Vision Transformer. International Journal of Neural Systems. 35(7). 2550023–2550023. 2 indexed citations
2.
Hohmann, Erik, Philippe Beaufils, Daniel Beiderbeck, et al.. (2025). Guidelines for Designing and Conducting Delphi Consensus Studies: An Expert Consensus Delphi Study. Arthroscopy The Journal of Arthroscopic and Related Surgery. 41(10). 4208–4208. 3 indexed citations
3.
Shang, Zhida, et al.. (2023). Ceramic-on-Ceramic Total Hip Arthroplasty: I Can Hear You. Arthroplasty Today. 23. 101203–101203. 3 indexed citations
4.
Shang, Zhida, et al.. (2023). Cross-Domain Credit Default Prediction via Interpretable Ensemble Transfer. SHILAP Revista de lepidopterología. 7(3). 106–112. 4 indexed citations
5.
Shang, Zhida. (2023). Use of Delphi in health sciences research: A narrative review. Medicine. 102(7). e32829–e32829. 162 indexed citations breakdown →
6.
Kim, Jennifer Y. & Zhida Shang. (2022). No, I Do Belong: How Asian American and Asian Canadian Professionals Defy and Counter Workplace Racial Violence during COVID‐19. Journal of Management Studies. 61(3). 888–925. 11 indexed citations
7.
Shang, Zhida. (2021). A Concept Analysis on the Use of Artificial Intelligence in Nursing. Cureus. 13(5). e14857–e14857. 32 indexed citations
8.
Shang, Zhida, et al.. (2021). Experiences of psychiatrists and support staff providing telemental health services to Indigenous peoples of Northern Quebec. BMC Health Services Research. 21(1). 85–85. 9 indexed citations
10.
Arnaert, Antonia, et al.. (2021). Patients’ experiences of telenursing follow‐up care after bariatric surgery. Journal of Clinical Nursing. 31(7-8). 985–994. 10 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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