Haijing Hao

763 total citations
21 papers, 538 citations indexed

About

Haijing Hao is a scholar working on Sociology and Political Science, General Health Professions and Information Systems and Management. According to data from OpenAlex, Haijing Hao has authored 21 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Sociology and Political Science, 7 papers in General Health Professions and 5 papers in Information Systems and Management. Recurrent topics in Haijing Hao's work include Technology Adoption and User Behaviour (5 papers), Patient Satisfaction in Healthcare (4 papers) and Innovation Diffusion and Forecasting (3 papers). Haijing Hao is often cited by papers focused on Technology Adoption and User Behaviour (5 papers), Patient Satisfaction in Healthcare (4 papers) and Innovation Diffusion and Forecasting (3 papers). Haijing Hao collaborates with scholars based in United States, China and Hong Kong. Haijing Hao's co-authors include Kunpeng Zhang, Leili Soltanisehat, Kim‐Kwang Raymond Choo, Reza Alizadeh, Weiguang Wang, Rema Padman, Rahul Telang, Baohong Sun, Wei Zhang and Wei Xu and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Journal of Medical Internet Research.

In The Last Decade

Haijing Hao

21 papers receiving 524 citations

Peers

Haijing Hao

GHP

SPS

OBHRM

Chantal Ammi France

Boonchai Kijsanayotin Thailand

Weiguang Wang United States

Galina Kondrateva France

Marian Carcary Ireland

Michael Workman United States

Saeed Akhlaghpour Australia

Monica Chiarini Tremblay United States

Ave Adriana Pinem Indonesia

Chantal Ammi France

Haijing Hao

59 ×0.4

GHP

141 ×1.2

SPS

132 ×1.2

87 ×0.8

28 ×0.4

OBHRM

Citations per year, relative to Haijing Hao Haijing Hao (= 1×) peers Chantal Ammi

Countries citing papers authored by Haijing Hao

Since Specialization

Citations

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

Fields of papers citing papers by Haijing Hao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haijing Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Haijing Hao. A scholar is included among the top collaborators of Haijing Hao 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 Haijing Hao. Haijing Hao 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

Hao, Haijing, et al.. (2024). Privacy Concerns Versus Personalized Health Content—Pregnant Individuals’ Willingness to Share Personal Health Information on Social Media: Survey Study. JMIR Formative Research. 9. e60862–e60862. 1 indexed citations

Hao, Haijing, Bin Zhang, Yongcheng Zhan, & Jiang Wu. (2023). What Can Online Doctor Reviews Tell Us? A Deep Learning Assisted Study of Telehealth Service. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 2 indexed citations

Hao, Haijing, et al.. (2023). Effects of online support and social media communities on gestational diabetes: A systematic review. International Journal of Medical Informatics. 180. 105263–105263. 7 indexed citations

Hao, Haijing, Monica J. Garfield, & Sandeep Purao. (2022). The Determinants of Length of Homeless Shelter Stays: Evidence-Based Regression Analyses. International Journal of Public Health. 66. 1604273–1604273. 3 indexed citations

Hao, Haijing, et al.. (2022). Which factors affect the performance of technology business incubators in China? An entrepreneurial ecosystem perspective. PLoS ONE. 17(1). e0261922–e0261922. 10 indexed citations

Mondal, Mainack, et al.. (2022). A Privacy Paradox? Impact of Privacy Concerns on Willingness to Disclose COVID-19 Health Status in the United States. 159–162. 2 indexed citations

Liu, Yifan, Haijing Hao, Mohit Sharma, et al.. (2022). Clinician Acceptance of Order Sets for Pain Management: A Survey in Two Urban Hospitals. Applied Clinical Informatics. 13(2). 447–455. 2 indexed citations

Purao, Sandeep, et al.. (2021). The Use of Smart Home Speakers by the Elderly: Exploratory Analyses and Potential for Big Data. Big Data Research. 25. 100224–100224. 9 indexed citations

Soltanisehat, Leili, Reza Alizadeh, Haijing Hao, & Kim‐Kwang Raymond Choo. (2020). Technical, Temporal, and Spatial Research Challenges and Opportunities in Blockchain-Based Healthcare: A Systematic Literature Review. IEEE Transactions on Engineering Management. 70(1). 353–368. 127 indexed citations

10.

Hao, Haijing, Sue E. Levkoff, Weiguang Wang, et al.. (2020). Studying Online Support for Caregivers of Patients With Alzheimer's Disease in China. International Journal of Healthcare Information Systems and Informatics. 15(4). 1–17. 3 indexed citations

11.

Zhang, Wei, Wei Xu, Haijing Hao, & Dan Zhu. (2020). Cost-sensitive multiple-instance learning method with dynamic transactional data for personal credit scoring. Expert Systems with Applications. 157. 113489–113489. 14 indexed citations

12.

Hao, Haijing, Rema Padman, Baohong Sun, & Rahul Telang. (2018). Quantifying the Impact of Social Influence on the Information Technology Implementation Process by Physicians: A Hierarchical Bayesian Learning Approach. Information Systems Research. 29(1). 25–41. 34 indexed citations

13.

Zhang, Tao, Wei Zhang, Wei Xu, & Haijing Hao. (2018). Multiple instance learning for credit risk assessment with transaction data. Knowledge-Based Systems. 161. 65–77. 29 indexed citations

14.

Hao, Haijing, et al.. (2017). A tale of two countries: International comparison of online doctor reviews between China and the United States. International Journal of Medical Informatics. 99. 37–44. 83 indexed citations

15.

Hao, Haijing & Kunpeng Zhang. (2016). The Voice of Chinese Health Consumers: A Text Mining Approach to Web-Based Physician Reviews. Journal of Medical Internet Research. 18(5). e108–e108. 92 indexed citations

16.

Hao, Haijing & Rema Padman. (2016). An empirical study of opinion leader effects on mobile technology implementation by physicians in an American community health system. Health Informatics Journal. 24(3). 323–333. 11 indexed citations

17.

Hao, Haijing. (2015). The Development of Online Doctor Reviews in China: An Analysis of the Largest Online Doctor Review Website in China. Journal of Medical Internet Research. 17(6). e134–e134. 75 indexed citations

18.

Hao, Haijing, Rema Padman, Baohong Sun, & Rahul Telang. (2014). Examining the Social Influence on Information Technology Sustained Use in a Community Health System: A Hierarchical Bayesian Learning Method Analysis. 29. 2751–2758. 4 indexed citations

19.

Hao, Haijing, Rema Padman, & Rahul Telang. (2011). An empirical study of opinion leader effects on mobile information technology adoption in healthcare.. PubMed. 2011. 537–42. 10 indexed citations

20.

Caulkins, Jonathan P. & Haijing Hao. (2007). Modelling drug market supply disruptions: Where do all the drugs not go?. Journal of Policy Modeling. 30(2). 251–270. 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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