Xiao Lan

905 citations
39 papers · 663 · h-index 10

Impact in

Papers in

Xiao Lan

30 papers receiving 639 citations

Peers

Xiao Lan
Comparison fields: 5 of 98
  • Water Science and Technology 157
  • Biomaterials 93
  • Information Systems 136
  • Biomedical Engineering 178
  • Pollution 45
Replace R. Saravanan with:
R. Saravanan India
Qingmiao Zhang China
Yujun Yan China
Chengcheng Xu China
Yahui Meng China
Chenggang Song China
Idelfonso B. R. Nogueira Portugal
Haoyan Xu China
Zhijing Liu China
John W. V. Miller United States
Xiao Lan relative to R. Saravanan India R. Saravanan's profile →
Citations per field
00.5×4.0×
R. Saravanan · 1×
Citations per year

Countries citing papers authored by Xiao Lan

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013180
2 2020104
3 201479
4 201977
5 202040
6 201837
7 202034
8 201721
9 201817
10 201710
11 20218
12 20177
13 20206
14 20235
15 20205
16 20225
17 20244
18 20234
19 20214
20 20223

About Xiao Lan

Xiao Lan is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Biomedical Engineering and Food Science, having authored 39 papers that have together received 663 indexed citations. Recurring topics across this work include Cryptography and Data Security (9 papers), Privacy-Preserving Technologies in Data (6 papers), Cloud Data Security Solutions (5 papers), Network Security and Intrusion Detection (4 papers), Advanced Authentication Protocols Security (3 papers), Antenna Design and Optimization (3 papers), Blockchain Technology Applications and Security (3 papers) and Structural Analysis and Optimization (3 papers). The work is most often cited by research in Water Science and Technology (157 citations), Biomaterials (93 citations), Information Systems (136 citations), Biomedical Engineering (178 citations) and Pollution (45 citations). Xiao Lan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yulin Tang, Yilong Wang, Shuili Yu, Hongguang Guo, Naiyun Gao, Xingshu Chen, Qixu Wang, Dajiang Chen, Ning Zhang and Wen Qin. Their work appears in journals such as Information Processing & Management, Food Bioscience, Computers & Security, IEEE Transactions on Dependable and Secure Computing and Colloids and Surfaces A Physicochemical and Engineering Aspects.

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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