Xiaole Bai

44 papers receiving 1.9k citations

Hit Papers

Deploying wireless sensors to achieve both coverage and c...20062026201220192006100200300400

Peers

Xiaole Bai
Comparison fields: 5 of 78
  • Computer Networks and Communications 1.4k
  • Electrical and Electronic Engineering 831
  • Computer Vision and Pattern Recognition 325
  • Artificial Intelligence 231
  • Ocean Engineering 181
Replace Richard W. Pazzi with:
Richard W. Pazzi Canada
Kai Lin China
Thomas Strang Germany
Haiping Huang China
Mun Choon Chan Singapore
Hirozumi Yamaguchi Japan
Luigi Palopoli Italy
Min-Te Sun Taiwan
Dirk Pesch Ireland
Bodhi Priyantha United States
Xiaole Bai relative to Richard W. Pazzi Canada Richard W. Pazzi's profile →
Citations per field
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Richard W. Pazzi · 1×
Citations per year

Countries citing papers authored by Xiaole Bai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaole Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaole Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaole Bai. A scholar is included among the top collaborators of Xiaole Bai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaole Bai. Xiaole Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
A keyword extraction method based on BP neural network
1
2
Scalable Video Transmission over Cognitive Radio Networks Using LDPC Code
4
3 13
4 21
5
Directed Coverage in Wireless Sensor Networks: Concept and Quality.
2
6
Optimal multiple-coverage of sensor networks
28
7 11
8 22
9 34
10 25
11 84
12 31
13 62
14 171
15 244
16 39
17 28
18 132
19 7
20 18

About Xiaole Bai

Xiaole Bai is a scholar working on Computer Networks and Communications, Transportation and Computer Science Applications, having authored 45 papers that have together received 2.0k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (23 papers), Mobile Ad Hoc Networks (18 papers) and Energy Harvesting in Wireless Networks (10 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Computer Vision and Pattern Recognition (325 citations) and Electrical and Electronic Engineering (831 citations). Xiaole Bai has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Dong Xuan, Ziqiu Yun, Ten H. Lai, Weijia Jia, Jiangpeng Dai, Santosh Kumar, Jin Teng, Sriram Chellappan, Zhimin Yang and Wenjun Gu. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Journal on Selected Areas in Communications and Information Sciences.

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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