Qi Han

3.1k citations
144 papers · 2.4k · h-index 22

Impact in

Papers in

Qi Han

134 papers receiving 2.3k citations

Peers

Qi Han
Comparison fields: 5 of 95
  • Computer Science Applications 643
  • Transportation 420
  • Computer Networks and Communications 1.0k
  • Computer Vision and Pattern Recognition 369
  • Signal Processing 184
Replace Lenin Ravindranath with:
Lenin Ravindranath United States
Prashanth Mohan United States
Xufei Mao China
Dong Zhao China
Jakob Eriksson United States
Yongjian Yang China
Jiangtian Nie Singapore
Zhiyong Yu China
Aman Kansal United States
Ramachandran Ramjee United States
Qi Han relative to Lenin Ravindranath United States Lenin Ravindranath's profile →
Citations per field
00.5×1.5×2×
Lenin Ravindranath · 1×
Citations per year

Countries citing papers authored by Qi Han

Since Specialization
Citations

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

Fields of papers citing papers by Qi Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007289
2 2016213
3 2017121
4 2010113
5 200798
6 201680
7 201675
8 201774
9 200464
10 201960
11 200347
12 201946
13 201546
14 201045
15 201738
16 201635
17 200934
18 200431
19 202030
20 201029

About Qi Han

Qi Han is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Transportation and Computer Science Applications, having authored 144 papers that have together received 2.4k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (41 papers), Human Mobility and Location-Based Analysis (24 papers), Mobile Crowdsensing and Crowdsourcing (23 papers), Indoor and Outdoor Localization Technologies (22 papers), Context-Aware Activity Recognition Systems (21 papers), Mobile Ad Hoc Networks (19 papers), Opportunistic and Delay-Tolerant Networks (17 papers) and Green IT and Sustainability (11 papers). The work is most often cited by research in Computer Science Applications (643 citations), Transportation (420 citations), Computer Networks and Communications (1.0k citations), Computer Vision and Pattern Recognition (369 citations) and Signal Processing (184 citations). Qi Han has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Zhiwen Yu, Bin Guo, Alan Marchiori, Nalini Venkatasubramanian, Anura P. Jayasumana, Huihui Chen, Yan Liu, Tissa H. Illangasekare, Wenle Wu and Sharad Mehrotra. Their work appears in journals such as IEEE Transactions on Mobile Computing, Pervasive and Mobile Computing, IEEE Transactions on Parallel and Distributed Systems, IEEE Internet of Things Journal and Journal of Parallel and Distributed Computing.

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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