Hao Zhong

612 total citations
20 papers, 397 citations indexed

About

Hao Zhong is a scholar working on Information Systems, Transportation and Management Science and Operations Research. According to data from OpenAlex, Hao Zhong has authored 20 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 5 papers in Transportation and 5 papers in Management Science and Operations Research. Recurrent topics in Hao Zhong's work include Recommender Systems and Techniques (6 papers), Human Mobility and Location-Based Analysis (5 papers) and Complex Network Analysis Techniques (3 papers). Hao Zhong is often cited by papers focused on Recommender Systems and Techniques (6 papers), Human Mobility and Location-Based Analysis (5 papers) and Complex Network Analysis Techniques (3 papers). Hao Zhong collaborates with scholars based in United States, China and France. Hao Zhong's co-authors include Weike Pan, Congfu Xu, Zhong Ming, Hui Xiong, Enhong Chen, Hengshu Zhu, Tong Xu, Shimon Y. Nof, Yanjie Fu and Meng Qu and has published in prestigious journals such as Expert Systems with Applications, Information & Management and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Hao Zhong

18 papers receiving 382 citations

Peers

Hao Zhong
Hao Zhong
Citations per year, relative to Hao Zhong Hao Zhong (= 1×) peers Yiding Liu

Countries citing papers authored by Hao Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Hao Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Zhong

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

All Works

20 of 20 papers shown
1.
Liu, Qidong, Xiangyu Zhao, Yejing Wang, et al.. (2025). Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation. 1582–1592.
2.
Zhong, Hao, Chuanren Liu, & Chaojiang Wu. (2025). Uncovering IT Career Path Patterns with Job Embedding-based Sequence Clustering. ACM Transactions on Management Information Systems. 16(2). 1–32.
3.
Zhong, Hao & Chuanren Liu. (2024). Firm profiling and competition assessment: A design science approach. Information & Management. 61(5). 103988–103988. 1 indexed citations
4.
Zhong, Hao, et al.. (2023). Decision aggregation with reliability propagation. Decision Support Systems. 178. 114130–114130. 1 indexed citations
5.
Zhang, Huibing, et al.. (2019). Cross-platform rating prediction method based on review topic. Future Generation Computer Systems. 101. 236–245. 3 indexed citations
6.
Xu, Tong, Hengshu Zhu, Hui Xiong, Hao Zhong, & Enhong Chen. (2019). Exploring the Social Learning of Taxi Drivers in Latent Vehicle-to-Vehicle Networks. IEEE Transactions on Mobile Computing. 1–1. 10 indexed citations
7.
Zhong, Hao. (2019). Venture capital investment: from rule of thumb to data science. Rutgers University Community Repository (Rutgers University). 2 indexed citations
8.
Xu, Tong, Hengshu Zhu, Hao Zhong, et al.. (2018). Exploiting the Dynamic Mutual Influence for Predicting Social Event Participation. IEEE Transactions on Knowledge and Data Engineering. 31(6). 1122–1135. 18 indexed citations
9.
Xu, Tong, Hengshu Zhu, Qi Liu, et al.. (2016). Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks. 1285–1294. 46 indexed citations
10.
Zhong, Hao, et al.. (2016). Which startup to invest in: a personalized portfolio strategy. Annals of Operations Research. 263(1-2). 339–360. 26 indexed citations
11.
Zhong, Hao, Chuanren Liu, Xinjiang Lu, & Hui Xiong. (2016). To be or Not to be Friends: Exploiting Social Ties for Venture Investments. 10. 699–708. 4 indexed citations
12.
Zhong, Hao, et al.. (2015). Co-Insights framework for collaborative decision support and tacit knowledge transfer. Expert Systems with Applications. 45. 85–96. 5 indexed citations
13.
Liu, Junming, Meng Qu, Weiwei Chen, et al.. (2015). Station Site Optimization in Bike Sharing Systems. View. 883–888. 82 indexed citations
14.
Pan, Weike, et al.. (2015). Compressed knowledge transfer via factorization machine for heterogeneous collaborative recommendation. Knowledge-Based Systems. 85. 234–244. 28 indexed citations
15.
Xu, Tong, Hao Zhong, Hengshu Zhu, et al.. (2015). Exploring the Impact of Dynamic Mutual Influence on Social Event Participation. 262–270. 23 indexed citations
16.
Zhong, Hao, et al.. (2015). Collaborative Intelligence - Definition and Measured Impacts on Internetworked e-Work. Management and Production Engineering Review. 6(1). 67–78. 9 indexed citations
17.
Zhang, Lu, Hao Zhong, & Shimon Y. Nof. (2015). Adaptive Fuzzy Collaborative Task Assignment for Heterogeneous Multirobot Systems. International Journal of Intelligent Systems. 30(6). 731–762. 9 indexed citations
18.
Pan, Weike, Hao Zhong, Congfu Xu, & Zhong Ming. (2014). Adaptive Bayesian personalized ranking for heterogeneous implicit feedbacks. Knowledge-Based Systems. 73. 173–180. 111 indexed citations
19.
Zhong, Hao, Weike Pan, Congfu Xu, Zhi Yin, & Zhong Ming. (2014). Adaptive Pairwise Preference Learning for Collaborative Recommendation with Implicit Feedbacks. 1999–2002. 6 indexed citations
20.
Zhong, Hao, et al.. (2013). Collaborative intelligence in knowledge based service planning. Expert Systems with Applications. 40(17). 6778–6787. 13 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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