Haibing Lu

50 papers receiving 797 citations

Peers

Haibing Lu
Comparison fields: 5 of 84
  • Computational Mathematics 13
  • Artificial Intelligence 465
  • Health Informatics 19
  • Information Systems 212
  • Automotive Engineering 80
Replace Cheng–Te Li with:
Cheng–Te Li Taiwan
Leonardo Rocha Brazil
Xun Liang China
İsmail Hakkı Toroslu Türkiye
Changyu Dong United Kingdom
Xu Chu Canada
Bee-Chung Chen United States
Zhiming Liu China
Milan Petković Netherlands
Maksims Volkovs Canada
Haibing Lu relative to Cheng–Te Li Taiwan Cheng–Te Li's profile →
Citations per field
00.5×4.3×
Cheng–Te Li · 1×
Citations per year

Countries citing papers authored by Haibing Lu

Since Specialization
Citations

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

Fields of papers citing papers by Haibing Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008107
2 201573
3 202067
4 201162
5 202154
6 201454
7 201743
8 201238
9 201423
10 200923
11 201223
12 201222
13 201821
14 201420
15 201915
16 202115
17 199514
18 201114
19 199112
20 201210

About Haibing Lu

Haibing Lu is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computational Theory and Mathematics and Sociology and Political Science, having authored 55 papers that have together received 841 indexed citations. Recurring topics across this work include Cryptography and Data Security (14 papers), Privacy-Preserving Technologies in Data (10 papers), Access Control and Trust (5 papers), Data Management and Algorithms (4 papers), Advanced Database Systems and Queries (4 papers), Blockchain Technology Applications and Security (4 papers), Smart Grid Energy Management (4 papers) and Complexity and Algorithms in Graphs (4 papers). The work is most often cited by research in Computational Mathematics (13 citations), Artificial Intelligence (465 citations), Health Informatics (19 citations), Information Systems (212 citations) and Automotive Engineering (80 citations). Haibing Lu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Jaideep Vaidya, Vijayalakshmi Atluri, Yuan Hong, Yanjiang Yang, Jian Weng, Jasmine Chang, Youcheng Zhang, Kim‐Kwang Raymond Choo, Shan Liu and Michele Samorani. Their work appears in journals such as Journal of Computer Security, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Intelligent Transportation Systems, Expert Systems with Applications and Pervasive and Mobile 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.

Explore authors with similar magnitude of impact