Hao Lin

451 citations
46 papers · 289 · h-index 8

Impact in

Papers in

Hao Lin

45 papers receiving 280 citations

Peers

Hao Lin
Comparison fields: 5 of 77
  • Hardware and Architecture 28
  • Computer Vision and Pattern Recognition 60
  • Computer Networks and Communications 66
  • Information Systems 61
  • Transportation 17
Replace Achraf Fayad with:
Achraf Fayad France
Bassem Ouni United Arab Emirates
Péter Ekler Hungary
Pengyu Wang China
Md. Humayun Kabir Bangladesh
Jinwen Xi China
Rendy Munadi Indonesia
Adam Pridgen United States
‪Theofanis Orphanoudakis‬ Greece
Hao Lin relative to Achraf Fayad France Achraf Fayad's profile →
Citations per field
00.5×
Achraf Fayad · 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 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202243
2 200630
3 202027
4 202227
5 201524
6 202419
7 202213
8 202412
9 20227
10 20137
11 20236
12 20235
13 20225
14 20234
15 20204
16 20234
17 20144
18 20234
19 20243
20 20243

About Hao Lin

Hao Lin is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 46 papers that have together received 289 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (6 papers), Blockchain Technology Applications and Security (3 papers), IoT and Edge/Fog Computing (3 papers), Graph Theory and Algorithms (3 papers), Advanced Computational Techniques and Applications (3 papers), Advanced Data Storage Technologies (3 papers), Personality Traits and Psychology (2 papers) and earthquake and tectonic studies (2 papers). The work is most often cited by research in Hardware and Architecture (28 citations), Computer Vision and Pattern Recognition (60 citations), Computer Networks and Communications (66 citations), Information Systems (61 citations) and Transportation (17 citations). Hao Lin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Weiqi Luo, Wei Lü, Sy‐Yen Kuo, Chundong Wang, Samuel P. Midkiff, Leixiao Li, Fangfang Wu, Hui Wang, Xin Qi and Jianxiong Wan. Their work appears in journals such as IEEE Internet of Things Journal, Multimedia Tools and Applications, Information Processing & Management, Geological Society of America Bulletin and Computers and Electronics in Agriculture.

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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