Bin Guo

387 papers receiving 7.3k citations

Hit Papers

Mobile Crowd Sensing and Computing 2015 · 548 citations
5482013202620172021100200300400500

Peers

Bin Guo
Comparison fields: 5 of 165
  • Computer Science Applications 2.4k
  • Transportation 2.2k
  • Computer Networks and Communications 1.5k
  • Computer Vision and Pattern Recognition 1.2k
  • Signal Processing 630
Replace Zhiwen Yu with:
Zhiwen Yu China
Cyrus Shahabi United States
Licia Capra United Kingdom
Zhibo Wang China
Jian Tang United States
Salil S. Kanhere Australia
Yongxin Tong China
Burak Kantarcı Canada
Chunyan Miao Singapore
Daqing Zhang China
Bin Guo relative to Zhiwen Yu China Zhiwen Yu's profile →
Citations per field
00.5×1.5×
Zhiwen Yu · 1×
Citations per year

Countries citing papers authored by Bin Guo

Since Specialization
Citations

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

Fields of papers citing papers by Bin Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 437 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mobile Crowd Sensing and Computing
Hit paper breakdown →
2015548
2
Opportunistic IoT: Exploring the harmonious interaction between human and the internet of things
Hit paper breakdown →
2013244
3 2016204
4 2015173
5 2016168
6 2016159
7 2014138
8 2020130
9 2011121
10 2018120
11 2017115
12 2018115
13 2014115
14 2018111
15 2019110
16 2014109
17 201696
18 201893
19 202088
20 201379

About Bin Guo

Bin Guo is a scholar working on Computer Science Applications, Transportation, Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 437 papers that have together received 7.5k indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (118 papers), Mobile Crowdsensing and Crowdsourcing (112 papers), Indoor and Outdoor Localization Technologies (54 papers), Complex Network Analysis Techniques (39 papers), Recommender Systems and Techniques (30 papers), IoT and Edge/Fog Computing (28 papers), Context-Aware Activity Recognition Systems (28 papers) and Opportunistic and Delay-Tolerant Networks (26 papers). The work is most often cited by research in Computer Science Applications (2.4k citations), Transportation (2.2k citations), Computer Networks and Communications (1.5k citations), Computer Vision and Pattern Recognition (1.2k citations) and Signal Processing (630 citations). Bin Guo has collaborated with scholars based in China, United States and France. Frequent co-authors include Zhiwen Yu, Zhu Wang, Xingshe Zhou, Daqing Zhang, Qi Han, Daqing Zhang, Yunji Liang, Leye Wang, Shasha Zhou and Huihui Chen. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, ACM Transactions on Knowledge Discovery from Data and IEEE Communications Magazine.

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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