Lin Liu

4.3k citations
165 papers · 3.2k indexed · 1 hit paper · h-index 31

Impact in

Papers in

Lin Liu

149 papers receiving 3.1k citations

Hit Papers

Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction 2019 · 225 citations
2250+2+4Years since publication50100150200

Peers

Lin Liu
Comparison fields: 5 of 139
  • Environmental Engineering 803
  • Building and Construction 607
  • Health, Toxicology and Mutagenesis 448
  • Transportation 197
  • Speech and Hearing 179
Replace Lin Zhang with:
Lin Zhang China
Zheming Tong China
Xin Zhou China
Erdem Cüce Türkiye
Eric Wai Ming Lee Hong Kong
Hang Yu China
Hyo Seon Park South Korea
Mehdi Seyedmahmoudian Australia
Luis Pérez‐Lombard Spain
C.S. Cheung Hong Kong
Lin Liu relative to Lin Zhang China Lin Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Lin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction
Hit paper breakdown →
2019225
2 2019174
3 2019143
4 2018130
5 2017107
6 200689
7 201789
8 201086
9 200978
10 201270
11 201970
12 200764
13 201063
14 201260
15 201159
16 201155
17 200755
18 201853
19 201353
20 201052

About Lin Liu

Lin Liu is a scholar working on Environmental Engineering, Mechanical Engineering, Atmospheric Science, Materials Chemistry and Health, Toxicology and Mutagenesis, having authored 165 papers that have together received 3.2k indexed citations. Recurring topics across this work include Urban Heat Island Mitigation (32 papers), Fiber-reinforced polymer composites (20 papers), Remote Sensing and Land Use (12 papers), Air Quality and Health Impacts (12 papers), Surface Modification and Superhydrophobicity (12 papers), Land Use and Ecosystem Services (11 papers), Building Energy and Comfort Optimization (11 papers) and Urban Green Space and Health (10 papers). The work is most often cited by research in Environmental Engineering (803 citations), Building and Construction (607 citations), Health, Toxicology and Mutagenesis (448 citations), Transportation (197 citations) and Speech and Hearing (179 citations). Lin Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yudong Huang, Xindong Peng, Y. Zhou, Puning Xue, L. Xiao, Jing Liu, Xin Chen, Md Zakirul Alam Bhuiyan, Hao Peng and D.L. Chen. Their work appears in journals such as Building and Environment, Applied Surface Science, Journal of Applied Polymer Science, Urban Climate and Journal of Cleaner Production.

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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