Bin Guo

417 papers receiving 8.3k citations

Bin Guo's Hit Papers

Mobile Crowd Sensing and Computing 2015 · 618 citations
6180+4+8Years since publication200400600

Peers

Bin Guo
Comparison fields: 5 of 140
  • Computer Science Applications 2.4k
  • Transportation 487
  • Computer Networks and Communications 1.1k
  • Information Systems 1.3k
  • Computer Vision and Pattern Recognition 940
Replace Zhiwen Yu with:
Zhiwen Yu China
Salil S. Kanhere Australia
Xingshe Zhou China
Cyrus Shahabi United States
Luca Foschini Italy
Licia Capra United Kingdom
Tarek Abdelzaher United States
Emiliano Miluzzo United States
Yongxin Tong China
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 469 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mobile Crowd Sensing and Computing
Hit paper breakdown →
2015618
2
From participatory sensing to Mobile Crowd Sensing
Hit paper breakdown →
2014327
3
Opportunistic IoT: Exploring the harmonious interaction between human and the internet of things
Hit paper breakdown →
2013286
4 2016216
5 2015186
6 2016183
7 2016173
8 2016168
9 2020158
10 2011155
11 2014152
12 2018132
13 2014126
14 2014125
15 2018124
16 2016105
17 202098
18 201294
19 201494
20 201390

About Bin Guo

Bin Guo is a scholar working on Computer Science Applications, Transportation, Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 469 papers that have together received 8.5k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (85 papers), Recommender Systems and Techniques (38 papers), Context-Aware Activity Recognition Systems (36 papers), Human Mobility and Location-Based Analysis (36 papers), IoT and Edge/Fog Computing (32 papers), Indoor and Outdoor Localization Technologies (22 papers), Privacy-Preserving Technologies in Data (19 papers) and Complex Network Analysis Techniques (16 papers). The work is most often cited by research in Computer Science Applications (2.4k citations), Transportation (487 citations), Computer Networks and Communications (1.1k citations), Information Systems (1.3k citations) and Computer Vision and Pattern Recognition (940 citations). Bin Guo has collaborated with scholars based in China, United States and France. Frequent co-authors include Zhiwen Yu, Daqing Zhang, Xingshe Zhou, Zhu Wang, Yunji Liang, Shasha Zhou, Qi Han, Chao Chen, Yan Liu and Yu Wang. Their work appears in journals such as IEEE Transactions on Mobile Computing, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Internet of Things Journal, 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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