Xiaolong Lan

872 citations
51 papers · 609 · h-index 12

Impact in

Papers in

Xiaolong Lan

42 papers receiving 594 citations

Peers

Xiaolong Lan
Comparison fields: 5 of 77
  • Computer Networks and Communications 384
  • Information Systems 129
  • Artificial Intelligence 137
  • Electrical and Electronic Engineering 241
  • Signal Processing 40
Replace Cong-Cong Xing with:
Cong-Cong Xing United States
Omar Said Egypt
Carolina Fortuna Slovenia
Lourdes López Spain
Mykhailo Klymash Ukraine
Ao Xiong China
Kelvin Dias Brazil
Cigdem Sengul Germany
Vangelis Gazis Greece
Farrukh Shahzad Saudi Arabia
Xiaolong Lan relative to Cong-Cong Xing United States Cong-Cong Xing's profile →
Citations per field
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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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020196
2 201858
3 202333
4 201928
5 202127
6 202126
7 201824
8 201921
9 202017
10 202312
11 202012
12 202011
13 201911
14 202111
15 20229
16 20239
17 20198
18 20248
19 20237
20 20227

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 51 papers that have together received 609 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (11 papers), Advanced Malware Detection Techniques (9 papers), Energy Harvesting in Wireless Networks (9 papers), Advanced MIMO Systems Optimization (7 papers), IoT Networks and Protocols (7 papers), IoT and Edge/Fog Computing (6 papers), Artificial Immune Systems Applications (6 papers) and Age of Information Optimization (5 papers). The work is most often cited by research in Computer Networks and Communications (384 citations), Information Systems (129 citations), Artificial Intelligence (137 citations), Electrical and Electronic Engineering (241 citations) and Signal Processing (40 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 Xiaohu Tang. 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 IEEE Transactions on Wireless Communications.

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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