Li Kuang

1.8k citations
100 papers · 1.3k · h-index 19

Impact in

Papers in

    • Service-Oriented Architecture and Web Services 22
    • Recommender Systems and Techniques 16
    • Software Engineering Research 15
    • Web Data Mining and Analysis 9
    • Privacy-Preserving Technologies in Data 8

Li Kuang

94 papers receiving 1.2k citations

Peers

Li Kuang
Comparison fields: 5 of 100
  • Transportation 154
  • Computer Networks and Communications 435
  • Information Systems 421
  • Artificial Intelligence 437
  • Building and Construction 174
Replace Xiaoxian Yang with:
Xiaoxian Yang China
Lei Zhao China
Huandong Wang China
Yueshen Xu China
Jie Yang China
Zheng Hu China
Yonglong Luo China
Konstantinos Tserpes Greece
Chunhua Hu China
Freddy Lécué United Kingdom
Li Kuang relative to Xiaoxian Yang China Xiaoxian Yang's profile →
Citations per field
00.5×10×16×
Xiaoxian Yang · 1×
Citations per year

Countries citing papers authored by Li Kuang

Since Specialization
Citations

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

Fields of papers citing papers by Li Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005125
2 202088
3 202074
4 201973
5 201965
6 202064
7 201853
8 201837
9 202134
10 201232
11 201730
12 202027
13 201727
14 202125
15 201125
16 202025
17 200721
18 201319
19 201818
20 201618

About Li Kuang

Li Kuang is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 100 papers that have together received 1.3k indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (22 papers), Recommender Systems and Techniques (16 papers), Software Engineering Research (15 papers), Software System Performance and Reliability (11 papers), Web Data Mining and Analysis (9 papers), Complex Network Analysis Techniques (8 papers), Privacy-Preserving Technologies in Data (8 papers) and Caching and Content Delivery (8 papers). The work is most often cited by research in Transportation (154 citations), Computer Networks and Communications (435 citations), Information Systems (421 citations), Artificial Intelligence (437 citations) and Building and Construction (174 citations). Li Kuang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Honghao Gao, Shuiguang Deng, Xiaoxian Yang, Kai Dou, Bin Guo, Yuyu Yin, Jennifer L. Wong, Miodrag Potkonjak, Deborah Estrin and Yingjie Xia. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Intelligent Transportation Systems, Mobile Networks and Applications, Wireless Networks and EURASIP Journal on Wireless Communications and Networking.

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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