Ying Long

7.3k total citations · 3 hit papers
205 papers, 5.5k citations indexed

About

Ying Long is a scholar working on Transportation, Global and Planetary Change and Building and Construction. According to data from OpenAlex, Ying Long has authored 205 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Transportation, 62 papers in Global and Planetary Change and 41 papers in Building and Construction. Recurrent topics in Ying Long's work include Urban Transport and Accessibility (58 papers), Land Use and Ecosystem Services (53 papers) and Human Mobility and Location-Based Analysis (42 papers). Ying Long is often cited by papers focused on Urban Transport and Accessibility (58 papers), Land Use and Ecosystem Services (53 papers) and Human Mobility and Location-Based Analysis (42 papers). Ying Long collaborates with scholars based in China, United States and Japan. Ying Long's co-authors include Jingxian Tang, Xingjian Liu, Jean‐Claude Thill, Xiangfeng Meng, Kang Wu, Haoying Han, Liu Liu, Jiangping Zhou, Xuhong Yang and Xiaobin Jin and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ying Long

197 papers receiving 5.3k citations

Hit Papers

Evaluating cities' vitality and identifying ghost cities ... 2017 2026 2020 2023 2017 2022 2022 100 200 300
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. Evaluating cities' vitality and identifying ghost cities in China with emerging geographical data
    2017 306 citations Ying Long et al. Cities profile →
  2. Research on the impact mechanism of heterogeneous environmental regulation on enterprise green technology innovation
    2022 193 citations Ying Long et al. profile →
  3. Projecting 1 km-grid population distributions from 2020 to 2100 globally under shared socioeconomic pathways
    2022 111 citations Xinyu Wang, Ying Long 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
Ying Long China 40 2.4k 2.2k 961 905 865 205 5.5k
Xingjian Liu China 37 1.7k 0.7× 1.7k 0.8× 625 0.7× 1.3k 1.4× 614 0.7× 149 5.0k
Shiliang Su China 48 3.0k 1.2× 1.8k 0.9× 1.3k 1.3× 956 1.1× 631 0.7× 95 6.0k
Yan Song United States 50 2.6k 1.1× 3.3k 1.5× 1.4k 1.5× 1.9k 2.2× 1.4k 1.6× 192 7.9k
Md. Kamruzzaman Australia 44 1.2k 0.5× 2.9k 1.3× 1.1k 1.1× 611 0.7× 1.1k 1.3× 176 6.9k
Martin Dijst Netherlands 52 1.7k 0.7× 4.9k 2.3× 1.2k 1.3× 1.0k 1.1× 1.4k 1.6× 164 8.5k
Peilei Fan United States 36 2.0k 0.8× 756 0.4× 991 1.0× 890 1.0× 359 0.4× 84 3.8k
Pengjun Zhao China 46 1.1k 0.5× 3.4k 1.6× 684 0.7× 1.2k 1.3× 910 1.1× 180 5.9k
Mingxing Chen China 32 2.1k 0.9× 896 0.4× 829 0.9× 1.3k 1.5× 282 0.3× 119 4.7k
Linchuan Yang China 42 1.1k 0.5× 3.0k 1.4× 1.2k 1.2× 694 0.8× 1.1k 1.3× 159 5.5k
Anthony Gar‐On Yeh Hong Kong 37 3.6k 1.5× 1.1k 0.5× 501 0.5× 746 0.8× 1.3k 1.5× 92 6.2k

Countries citing papers authored by Ying Long

Since Specialization
Citations

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

Fields of papers citing papers by Ying Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Long

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Long. A scholar is included among the top collaborators of Ying Long 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 Ying Long. Ying Long 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.
Song, Chao, Zhongdan Chen, Paige Snider, et al.. (2025). Can behavioural nudges promote reduced-salt dish orders on meal delivery apps?. Public Health. 242. 250–255. 1 indexed citations
2.
Zhao, Huimin, et al.. (2025). Housing vacancy rate estimation in high-rise residential communities: An experiment utilizing multi-sourced data in Beijing. Cities. 166. 106187–106187. 2 indexed citations
3.
Li, Wenzhu, et al.. (2025). Uncovering how online attractiveness mediates and moderates the impact of multi-scale transportation accessibility on non-work mobility. Travel Behaviour and Society. 39. 100991–100991. 2 indexed citations
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Long, Ying, et al.. (2025). Measuring Temporal Evolution of Nationwide Urban Physical Disorder: An Approach Combining Time-Series Street View Imagery with Deep Learning. Annals of the American Association of Geographers. 115(4). 923–948. 2 indexed citations
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Long, Ying, et al.. (2025). The form of China’s urban commercial expansion in the digital era. Nature Cities. 2(7). 639–649. 1 indexed citations
8.
Long, Ying, et al.. (2025). Profile and theoretical advances in urban big data studies: A systematic review of 57 representative journals (2013–2023). Environment and Planning B Urban Analytics and City Science.
9.
Wang, Xinyu, et al.. (2024). Spatiotemporal changes of urban vacant land and its distribution patterns in shrinking cities on the globe. The Science of The Total Environment. 947. 174424–174424. 7 indexed citations
10.
Zhang, Zhaoxi, et al.. (2024). Assessing personal screen exposure with ever-changing contexts using wearable cameras and computer vision. Building and Environment. 261. 111720–111720. 2 indexed citations
11.
Liu, Yangqing, Jiapei Chen, Li‐Xiang Wu, et al.. (2024). Hoop tensile properties of SiC fiber-reinforced SiC matrix composite tubes with/without CVD-SiC coating. Journal of the European Ceramic Society. 44(14). 116707–116707. 8 indexed citations
12.
Li, Wenzhu, et al.. (2024). Unveiling fine-scale urban third places for remote work using mobile phone big data. Sustainable Cities and Society. 103. 105258–105258. 18 indexed citations
13.
Deng, Qiuju, Zhao Yang, Moning Guo, et al.. (2023). Driving Time to the Nearest Percutaneous Coronary Intervention-Capable Hospital and the Risk of Case Fatality in Patients with Acute Myocardial Infarction in Beijing. International Journal of Environmental Research and Public Health. 20(4). 3166–3166. 1 indexed citations
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Mustafa, Sohaib, et al.. (2023). Role of domestic renewable energy plants in combating energy deficiency in developing countries. End-user perspective. Energy Reports. 11. 692–705. 9 indexed citations
17.
Long, Ying, et al.. (2023). Measuring pedestrian flows in public spaces: Inferring walking for transport and recreation using Wi-Fi probes. Building and Environment. 230. 109999–109999. 11 indexed citations
18.
Zhang, Wenjia, et al.. (2022). Measuring Physical Disorder in Urban Street Spaces: A Large-Scale Analysis Using Street View Images and Deep Learning. Annals of the American Association of Geographers. 113(2). 469–487. 36 indexed citations
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Jia, Haifeng, et al.. (2020). Quantifying the usage of small public spaces using deep convolutional neural network. PLoS ONE. 15(10). e0239390–e0239390. 25 indexed citations

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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