Ling Cai

2.6k citations
48 papers · 1.6k · 3 hit papers · h-index 15

Impact in

Papers in

Ling Cai

47 papers receiving 1.5k citations

Ling Cai's Hit Papers

A review of location encoding for GeoAI: methods and applications 2022 · 92 citations
920+2+4Years since publication200400600

Peers

Ling Cai
Comparison fields: 5 of 150
  • Transportation 227
  • Computer Vision and Pattern Recognition 682
  • Geography, Planning and Development 132
  • Building and Construction 213
  • Signal Processing 162
Replace Tong Zhang with:
Tong Zhang China
Yao‐Yi Chiang United States
Daniel G. Aliaga United States
Quanshi Zhang China
Adam C. Winstanley Ireland
Cyril Ray France
Yongjun Xu China
Jiyeong Lee South Korea
Qing Zhu China
Dongming Lu China
Ling Cai relative to Tong Zhang China Tong Zhang's profile →
Citations per field
00.5×4.2×
Tong Zhang · 1×
Citations per year

Countries citing papers authored by Ling Cai

Since Specialization
Citations

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

Fields of papers citing papers by Ling Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
M2Det: A Single-Shot Object Detector Based on Multi-Level Feature Pyramid Network
Hit paper breakdown →
2019637
2
Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting
Hit paper breakdown →
2020248
3 2008119
4
A review of location encoding for GeoAI: methods and applications
Hit paper breakdown →
202292
5 201742
6 201938
7 201637
8 201029
9 202027
10 202227
11 202227
12 202127
13 201319
14 202215
15 202215
16 200512
17 202212
18 201811
19 202010
20 20169

About Ling Cai

Ling Cai is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Geography, Planning and Development and Molecular Biology, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Geographic Information Systems Studies (10 papers), Data Management and Algorithms (9 papers), Advanced Image and Video Retrieval Techniques (6 papers), Semantic Web and Ontologies (5 papers), Video Surveillance and Tracking Methods (5 papers), Image Retrieval and Classification Techniques (5 papers), Face and Expression Recognition (3 papers) and Behavioral Health and Interventions (3 papers). The work is most often cited by research in Transportation (227 citations), Computer Vision and Pattern Recognition (682 citations), Geography, Planning and Development (132 citations), Building and Construction (213 citations) and Signal Processing (162 citations). Ling Cai has collaborated with scholars based in United States, China and Austria. Frequent co-authors include Zhi Tang, Yongtao Wang, Haibin Ling, Tao Sheng, Qijie Zhao, Ying Chen, Gengchen Mai, Rui Zhu, Krzysztof Janowicz and Bo Yan. Their work appears in journals such as Nicotine & Tobacco Research, Neurocomputing, GeoInformatica, Body Image and Transactions in GIS.

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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