Xiaolong Lan

896 citations
53 papers · 641 · h-index 12

Impact in

Papers in

Xiaolong Lan

44 papers receiving 624 citations

Peers

Xiaolong Lan
Comparison fields: 5 of 80
  • Computer Networks and Communications 397
  • Information Systems 138
  • Electrical and Electronic Engineering 245
  • Signal Processing 47
  • Artificial Intelligence 142
Replace Omar Said with:
Omar Said Egypt
Lourdes López Spain
Byung K. Yi United States
Vijay Kumar Chaurasiya India
Adnan Noor Mian Pakistan
Csaba Király Italy
Kelvin Dias Brazil
Hossam Afifi France
Alma Oracevic United Kingdom
Mohammad Arifuzzaman Japan
Xiaolong Lan relative to Omar Said Egypt Omar Said's profile →
Citations per field
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Omar Said · 1×
Citations per year

Countries citing papers authored by Xiaolong Lan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolong Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020201
2 201861
3 202336
4 202129
5 202129
6 201928
7 201824
8 201921
9 202018
10 202313
11 202012
12 202011
13 202111
14 201911
15 202210
16 202310
17 20228
18 20248
19 20198
20 20208

About Xiaolong Lan

Xiaolong Lan is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Signal Processing and Information Systems, having authored 53 papers that have together received 641 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (11 papers), Energy Harvesting in Wireless Networks (9 papers), Advanced Malware Detection Techniques (9 papers), IoT Networks and Protocols (8 papers), Advanced MIMO Systems Optimization (7 papers), IoT and Edge/Fog Computing (6 papers), Artificial Immune Systems Applications (6 papers) and Age of Information Optimization (6 papers). The work is most often cited by research in Computer Networks and Communications (397 citations), Information Systems (138 citations), Electrical and Electronic Engineering (245 citations), Signal Processing (47 citations) and Artificial Intelligence (142 citations). Xiaolong Lan has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Lin Cai, Yongmin Zhang, Ju Ren, Qingchun Chen, Tao Li, Jianping Pan, Yunpeng Wang, Yue Li, Lisheng Fan and Beibei Li. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Information Forensics and Security, Knowledge-Based Systems, Computers & Security and International Journal of Intelligent Systems.

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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