Ling Yin

4.1k total citations · 1 hit paper
116 papers, 2.8k citations indexed

About

Ling Yin is a scholar working on Transportation, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Ling Yin has authored 116 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Transportation, 20 papers in Epidemiology and 17 papers in Modeling and Simulation. Recurrent topics in Ling Yin's work include Human Mobility and Location-Based Analysis (44 papers), Urban Transport and Accessibility (32 papers) and COVID-19 epidemiological studies (17 papers). Ling Yin is often cited by papers focused on Human Mobility and Location-Based Analysis (44 papers), Urban Transport and Accessibility (32 papers) and COVID-19 epidemiological studies (17 papers). Ling Yin collaborates with scholars based in China, United States and Hong Kong. Ling Yin's co-authors include Shih‐Lung Shaw, Tianmu Chen, Zhixiang Fang, Jia Rui, Yang Xu, Feng Lu, Ziliang Zhao, Kang Liu, Xiping Yang and Zhiyuan Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Stroke.

In The Last Decade

Ling Yin

104 papers receiving 2.7k citations

Hit Papers

A mathematical model for simulating the phase-based trans... 2020 2026 2022 2024 2020 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A mathematical model for simulating the phase-based transmissibility of a novel coronavirus
    2020 559 citations Ling Yin et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ling Yin China 30 1.1k 635 388 381 288 116 2.8k
Hong Yang United States 33 1.1k 1.1× 66 0.1× 144 0.4× 160 0.4× 208 0.7× 150 3.5k
Pang Wei Koh United States 15 293 0.3× 613 1.0× 110 0.3× 107 0.3× 47 0.2× 30 1.9k
Xiuju Fu Singapore 23 285 0.3× 128 0.2× 65 0.2× 106 0.3× 139 0.5× 101 2.5k
Nan Zhang China 24 136 0.1× 380 0.6× 145 0.4× 93 0.2× 25 0.1× 122 1.7k
Milad Haghani Australia 36 1.1k 1.0× 75 0.1× 47 0.1× 244 0.6× 117 0.4× 118 3.4k
Li Zhu United States 25 170 0.2× 459 0.7× 42 0.1× 84 0.2× 195 0.7× 75 2.1k
Christian Schneider Germany 26 401 0.4× 31 0.0× 264 0.7× 82 0.2× 142 0.5× 106 2.4k
Wenguo Weng China 35 227 0.2× 131 0.2× 46 0.1× 369 1.0× 73 0.3× 148 3.7k
Jong‐Hun Kim South Korea 24 38 0.0× 288 0.5× 247 0.6× 77 0.2× 104 0.4× 168 2.7k

Countries citing papers authored by Ling Yin

Since Specialization
Citations

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

Fields of papers citing papers by Ling Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Yin. A scholar is included among the top collaborators of Ling Yin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ling Yin. Ling Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Huang, Qiong, et al.. (2025). Multimodal sow lameness classification method integrating spatiotemporal features. Computers and Electronics in Agriculture. 235. 110363–110363. 1 indexed citations
2.
3.
Li, Qiuping, Wei Yan, Yang Zhou, Suhong Zhou, & Ling Yin. (2025). Exploring inter-user differences in bike-sharing origin-destination flows across rainfall intensities. Travel Behaviour and Society. 42. 101166–101166.
4.
Zhang, Fei, et al.. (2024). Research on the generation and evaluation of bridge defect datasets for underwater environments utilizing CycleGAN networks. Expert Systems with Applications. 262. 125576–125576. 1 indexed citations
5.
Liu, Kang, et al.. (2024). Deciphering Human Mobility: Inferring Semantics of Trajectories with Large Language Models. 289–294. 4 indexed citations
6.
Yin, Ling, Ying Shen, Anran Wang, et al.. (2022). Distribution of risk factors differs from coronary heart disease and stroke in China: a national population survey. BMJ Open. 12(11). e065970–e065970. 2 indexed citations
7.
Liu, Xintao, Xiaoyue Tan, Tao Jia, et al.. (2021). Nighttime Vitality and Its Relationship to Urban Diversity: An Exploratory Analysis in Shenzhen, China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 309–322. 33 indexed citations
8.
He, Wenbin, Zhiwen Jiang, Wuyi Ming, et al.. (2021). A critical review for machining positioning based on computer vision. Measurement. 184. 109973–109973. 31 indexed citations
9.
Xu, Yang, et al.. (2020). Effects of Data Preprocessing Methods on Addressing Location Uncertainty in Mobile Signaling Data. Annals of the American Association of Geographers. 111(2). 515–539. 25 indexed citations
10.
Zhao, Zhiyuan, Shih‐Lung Shaw, Ling Yin, et al.. (2019). The effect of temporal sampling intervals on typical human mobility indicators obtained from mobile phone location data. International Journal of Geographical Information Systems. 33(7). 1471–1495. 34 indexed citations
11.
Yang, Xiping, Zhixiang Fang, Yang Xu, et al.. (2019). Spatial heterogeneity in spatial interaction of human movements—Insights from large-scale mobile positioning data. Journal of Transport Geography. 78. 29–40. 45 indexed citations
12.
Zhao, Zhiyuan, Ling Yin, Shih‐Lung Shaw, et al.. (2018). Identifying stops from mobile phone location data by introducing uncertain segments. Transactions in GIS. 22(4). 958–974. 11 indexed citations
13.
Yang, Xiping, et al.. (2018). Understanding the Spatial Structure of Urban Commuting Using Mobile Phone Location Data: A Case Study of Shenzhen, China. Sustainability. 10(5). 1435–1435. 41 indexed citations
14.
Lu, Shiwei, Zhixiang Fang, Shih‐Lung Shaw, et al.. (2017). Understanding the Representativeness of Mobile Phone Location Data in Characterizing Human Mobility Indicators. ISPRS International Journal of Geo-Information. 6(1). 7–7. 39 indexed citations
15.
Lu, Shiwei, et al.. (2017). Exploring the Effects of Sampling Locations for Calibrating the Huff Model Using Mobile Phone Location Data. Sustainability. 9(1). 159–159. 11 indexed citations
16.
Xu, Yang, Shih‐Lung Shaw, Zhixiang Fang, & Ling Yin. (2016). Estimating Potential Demand of Bicycle Trips from Mobile Phone Data—An Anchor-Point Based Approach. ISPRS International Journal of Geo-Information. 5(8). 131–131. 24 indexed citations
17.
Yang, Xiping, Zhixiang Fang, Yang Xu, et al.. (2016). Understanding Spatiotemporal Patterns of Human Convergence and Divergence Using Mobile Phone Location Data. ISPRS International Journal of Geo-Information. 5(10). 177–177. 50 indexed citations
18.
Song, Xiaoqing, et al.. (2016). A Method of Deriving the Boarding Station Information of Bus Passengers Based on Comprehensive Transfer Information Mined from IC Card Data. 18(8). 1068. 1 indexed citations
19.
Xu, Yang, Ziliang Zhao, Ling Yin, et al.. (2016). Another Tale of Two Cities: Understanding Human Activity Space Using Actively Tracked Cellphone Location Data. Annals of the American Association of Geographers. 106(2). 489–502. 99 indexed citations
20.

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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