Q. Tan

1.3k citations
6 papers · 582 · 1 hit paper · h-index 4

Impact in

Papers in

Q. Tan

5 papers receiving 573 citations

Q. Tan's Hit Papers

Sulfur dioxide emissions in China and sulfur trends in East Asia since 2000 2010 · 502 citations
5020+5+10Years since publication100200300400500

Peers

Q. Tan
Comparison fields: 5 of 65
  • Atmospheric Science 408
  • Health, Toxicology and Mutagenesis 261
  • Global and Planetary Change 251
  • Environmental Engineering 99
  • Automotive Engineering 73
Replace Mastura Mahmud with:
Mastura Mahmud Malaysia
Ruonan Wang China
Youjiang He China
Hongjian Weng China
Weijun Quan China
Xiaohui Du China
Ya Meng China
Teng Yao Hong Kong
Walter Ruijgrok Netherlands
C. P. Nielsen United States
Q. Tan relative to Mastura Mahmud Malaysia Mastura Mahmud's profile →
Citations per field
00.5×1.5×1.8×
Mastura Mahmud · 1×
Citations per year

Countries citing papers authored by Q. Tan

Since Specialization
Citations

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

Fields of papers citing papers by Q. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Q. Tan, 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 Q. Tan Line = papers co-authored together Q. Tan links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Sulfur dioxide emissions in China and sulfur trends in East Asia since 2000
Hit paper breakdown →
2010502
2 201365
3 20247
4 20237
5 20241
6 20250

About Q. Tan

Q. Tan is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing, Atmospheric Science and Global and Planetary Change, having authored 6 papers that have together received 582 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (4 papers), Network Traffic and Congestion Control (3 papers), Atmospheric chemistry and aerosols (2 papers), Video Coding and Compression Technologies (2 papers), Caching and Content Delivery (2 papers), Climate variability and models (1 paper), Air Quality and Health Impacts (1 paper) and Advanced Wireless Network Optimization (1 paper). The work is most often cited by research in Atmospheric Science (408 citations), Health, Toxicology and Mutagenesis (261 citations), Global and Planetary Change (251 citations), Environmental Engineering (99 citations) and Automotive Engineering (73 citations). Q. Tan has collaborated with scholars based in China and United States. Frequent co-authors include Mian Chin, Shuxiao Wang, Zifeng Lü, David G. Streets, Q. Zhang, Gregory R. Carmichael, Chao Wei, Yafang Cheng, Zhining Tao and Eric Kemp. Their work appears in journals such as Atmospheric chemistry and physics, IEEE Transactions on Mobile Computing and GetMobile Mobile Computing and Communications.

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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