Hao Lin

1.5k citations
50 papers · 1.0k · h-index 15

Impact in

Papers in

Hao Lin

43 papers receiving 986 citations

Peers

Hao Lin
Comparison fields: 5 of 97
  • Marketing 244
  • Management Information Systems 128
  • Artificial Intelligence 423
  • Statistical and Nonlinear Physics 154
  • Strategy and Management 182
Replace Jian Jiao with:
Jian Jiao United States
Siddhartha Banerjee United States
Koustuv Dasgupta India
Gema Bello-Orgaz Spain
Yain‐Whar Si Macao
T. B. Richard Singapore
Varsha Arya Taiwan
May El Barachi United Arab Emirates
Magdalini Eirinaki United States
Zheng Qin China
Hao Lin relative to Jian Jiao United States Jian Jiao's profile →
Citations per field
00.5×4.1×
Jian Jiao · 1×
Citations per year

Countries citing papers authored by Hao Lin

Since Specialization
Citations

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

Fields of papers citing papers by Hao Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018192
2 2016120
3 2016112
4 2018105
5 201951
6 201948
7 201947
8 201933
9 202132
10 201729
11 202127
12 201927
13 201518
14 202415
15 201315
16 201113
17 202213
18 202012
19 202012
20 20079

About Hao Lin

Hao Lin is a scholar working on Artificial Intelligence, Control and Systems Engineering, Sociology and Political Science, Marketing and Strategy and Management, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Digital Platforms and Economics (7 papers), Complex Network Analysis Techniques (7 papers), Advanced Text Analysis Techniques (6 papers), Consumer Market Behavior and Pricing (6 papers), Industrial Technology and Control Systems (5 papers), Digital Marketing and Social Media (5 papers), Text and Document Classification Technologies (5 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Marketing (244 citations), Management Information Systems (128 citations), Artificial Intelligence (423 citations), Statistical and Nonlinear Physics (154 citations) and Strategy and Management (182 citations). Hao Lin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuan Zuo, Junjie Wu, Yong Tan, Guannan Liu, Robert F. Easley, Xiaoqian Hu, Jia Guo, Hui Xiong, Ke Xu and Hui Zhang. Their work appears in journals such as Production and Operations Management, Information Systems Research, Process Safety and Environmental Protection, IEEE Transactions on Knowledge and Data Engineering and INFORMS journal on computing.

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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