Tinglong Dai

2.5k total citations
75 papers, 1.1k citations indexed

About

Tinglong Dai is a scholar working on Economics and Econometrics, Management Information Systems and Management Science and Operations Research. According to data from OpenAlex, Tinglong Dai has authored 75 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Economics and Econometrics, 22 papers in Management Information Systems and 17 papers in Management Science and Operations Research. Recurrent topics in Tinglong Dai's work include Auction Theory and Applications (17 papers), Supply Chain and Inventory Management (16 papers) and Consumer Market Behavior and Pricing (11 papers). Tinglong Dai is often cited by papers focused on Auction Theory and Applications (17 papers), Supply Chain and Inventory Management (16 papers) and Consumer Market Behavior and Pricing (11 papers). Tinglong Dai collaborates with scholars based in United States, China and Hong Kong. Tinglong Dai's co-authors include Sridhar Tayur, Christopher S. Tang, Kinshuk Jerath, Soo-Haeng Cho, Fuqiang Zhang, Ersin Körpeoğlu, Özge Şahin, Ying‐Ju Chen, C. Gizem Korpeoglu and Katia Sycara and has published in prestigious journals such as Management Science, Journal of Marketing Research and Operations Research.

In The Last Decade

Tinglong Dai

68 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tinglong Dai United States	17	372	273	247	233	164	75	1.1k
Julie Swann United States	22	352 0.9×	254 0.9×	156 0.6×	240 1.0×	316 1.9×	85	2.1k
Francis de Véricourt United States	22	891 2.4×	314 1.2×	179 0.7×	282 1.2×	273 1.7×	40	1.5k
Hamed Mamani United States	12	398 1.1×	310 1.1×	137 0.6×	355 1.5×	143 0.9×	20	951
Elodie Adida United States	17	582 1.6×	359 1.3×	304 1.2×	293 1.3×	215 1.3×	30	1.1k
Sameer Hasija France	17	484 1.3×	270 1.0×	143 0.6×	215 0.9×	143 0.9×	51	989
Sarang Deo India	18	297 0.8×	176 0.6×	90 0.4×	323 1.4×	113 0.7×	80	1.2k
Marcelo Olivares Chile	19	601 1.6×	252 0.9×	548 2.2×	389 1.7×	322 2.0×	44	1.5k
Nikolaos Trichakis United States	19	598 1.6×	428 1.6×	186 0.8×	333 1.4×	414 2.5×	43	2.0k
Seyed M. R. Iravani United States	26	1.2k 3.3×	719 2.6×	220 0.9×	216 0.9×	366 2.2×	70	2.3k
Lindu Zhao China	19	213 0.6×	338 1.2×	167 0.7×	94 0.4×	51 0.3×	78	1.4k

Countries citing papers authored by Tinglong Dai

Since Specialization

Citations

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

Fields of papers citing papers by Tinglong Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tinglong Dai

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

All Works

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20 of 20 papers shown

Socal, Mariana P., et al.. (2025). US Antibiotic Importation and Supply Chain Vulnerabilities. JAMA Health Forum. 6(10). e253871–e253871.

Dai, Tinglong, et al.. (2025). Evaluating commercial multimodal AI for diabetic eye screening and implications for an alternative regulatory pathway. npj Digital Medicine. 9(1). 42–42.

Dai, Tinglong, et al.. (2025). Cost-effectiveness of AI for pediatric diabetic eye exams from a health system perspective. npj Digital Medicine. 8(1). 3–3. 4 indexed citations

Dai, Tinglong, et al.. (2025). Trust in AI-assisted health systems and AI’s trust in humans. 2(1). 11 indexed citations

Dai, Tinglong, et al.. (2025). Artificial Intelligence on Call: The Physician's Decision of Whether to Use AI in Clinical Practice. Journal of Marketing Research. 62(5). 854–875. 4 indexed citations

Yang, Haiyang, et al.. (2025). Peer perceptions of clinicians using generative AI in medical decision-making. npj Digital Medicine. 8(1). 530–530. 1 indexed citations

Gilbert, Stephen, et al.. (2025). Consternation as Congress proposal for autonomous prescribing AI coincides with the haphazard cuts at the FDA. npj Digital Medicine. 8(1). 165–165. 3 indexed citations

Wolf, Risa M., et al.. (2024). Qualitative metrics from the biomedical literature for evaluating large language models in clinical decision-making: a narrative review. BMC Medical Informatics and Decision Making. 24(1). 357–357. 7 indexed citations

Abràmoff, Michael D., Jennifer L. Patnaik, Munir Ahmed, et al.. (2023). Autonomous artificial intelligence increases real-world specialist clinic productivity in a cluster-randomized trial. npj Digital Medicine. 6(1). 184–184. 33 indexed citations

10.

Dai, Tinglong & Sridhar Tayur. (2022). Designing AI‐augmented healthcare delivery systems for physician buy‐in and patient acceptance. Production and Operations Management. 31(12). 4443–4451. 31 indexed citations

11.

Dun, Chen, Christi Walsh, Tinglong Dai, et al.. (2022). NIH funding of COVID-19 research in 2020: a cross-sectional study. BMJ Open. 12(5). e059041–e059041. 5 indexed citations

12.

Howell, Ann-Marie, Nicos Savva, Oliver Warren, et al.. (2020). Colorectal cancer services during the COVID-19 pandemic. British journal of surgery. 107(8). e255–e256. 15 indexed citations

13.

Dai, Tinglong, et al.. (2020). Conspicuous by Its Absence: Diagnostic Expert Testing Under Uncertainty. Marketing Science. 39(3). 540–563. 34 indexed citations

14.

Dai, Tinglong & Sridhar Tayur. (2019). OM Forum—Healthcare Operations Management: A Snapshot of Emerging Research. Manufacturing & Service Operations Management. 22(5). 869–887. 91 indexed citations

15.

Dai, Tinglong & Sridhar Tayur. (2019). Healthcare Operations Management: A Snapshot of Emerging Research. 11 indexed citations

16.

Dai, Tinglong, Kelly T. Gleason, Chao‐Wei Hwang, & Patricia M. Davidson. (2019). Heart analytics: Analytical modeling of cardiovascular care. Naval Research Logistics (NRL). 68(1). 30–43. 1 indexed citations

17.

Dai, Tinglong, et al.. (2016). Patient Experience Improvement at UPMC Eye Center. 1 indexed citations

18.

Zheng, Ronghuo, Nilanjan Chakraborty, Tinglong Dai, & Katia Sycara. (2013). Multiagent negotiation on multiple issues with incomplete information: extended abstract. Figshare. 1279–1280. 6 indexed citations

19.

Zheng, Ronghuo, et al.. (2013). Multiagent negotiation on multiple issues with incomplete information: extended abstract. Adaptive Agents and Multi-Agents Systems. 1279–1280. 2 indexed citations

20.

Dai, Tinglong & Kinshuk Jerath. (2013). Salesforce Compensation with Inventory Considerations. Management Science. 59(11). 2490–2501. 64 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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