Yuhao Kang

3.5k total citations · 2 hit papers
66 papers, 2.3k citations indexed

About

Yuhao Kang is a scholar working on Transportation, Global and Planetary Change and Epidemiology. According to data from OpenAlex, Yuhao Kang has authored 66 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Transportation, 15 papers in Global and Planetary Change and 14 papers in Epidemiology. Recurrent topics in Yuhao Kang's work include Human Mobility and Location-Based Analysis (27 papers), Data-Driven Disease Surveillance (14 papers) and Urban Transport and Accessibility (11 papers). Yuhao Kang is often cited by papers focused on Human Mobility and Location-Based Analysis (27 papers), Data-Driven Disease Surveillance (14 papers) and Urban Transport and Accessibility (11 papers). Yuhao Kang collaborates with scholars based in United States, China and Hong Kong. Yuhao Kang's co-authors include Song Gao, Fan Zhang, Jinmeng Rao, Yunlei Liang, Carlo Ratti, Yu Liu, Teng Fei, Hui Lin, Robert E. Roth and Mingxiao Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yuhao Kang

62 papers receiving 2.3k citations

Hit Papers

align trajectories

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.

Understanding urban perception with visual data: A systematic review

2024 54 citations Koichi Ito, Yuhao Kang et al. Cities profile →
Artificial intelligence studies in cartography: a review and synthesis of methods, applications, and ethics

2024 33 citations Yuhao Kang, Song Gao et al. Cartography and Geographic Information Science profile →

Peers

Countries citing papers authored by Yuhao Kang

Since Specialization

Citations

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

Fields of papers citing papers by Yuhao Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhao Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuhao Kang. A scholar is included among the top collaborators of Yuhao Kang 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 Yuhao Kang. Yuhao Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Title	Journal	Authors	Indexed citations
1	Crime and Visually Perceived Safety of the Built Environment: A Deep Learning Approach	Annals of the American Association of Geographers	Yuhao Kang, Vânia Ceccato et al.	2
2	Urban sensing in the era of large language models	The Innovation	Fan Zhang, Yong Li et al.	11
3	Feeling Nature: Measuring perceptions of biophilia across global biomes using visual AI	npj Urban Sustainability	Fábio Duarte, Yuhao Kang et al.	3
4	Urban visual uniqueness: A landmark-free framework to quantify city's identity and distinctiveness from everyday scenes	Computers Environment and Urban Systems	Song Guo, Fábio Duarte et al.	0
5	What Makes a Place Safe? Assessing AI-Generated Safety Perception Scores Using Stockholm’s Street View Images	The British Journal of Criminology	Vânia Ceccato, Yuhao Kang et al.	0
6	Understanding urban perception with visual data: A systematic review breakdown →	Cities	Koichi Ito, Yuhao Kang et al.	54
7	Artificial intelligence studies in cartography: a review and synthesis of methods, applications, and ethics breakdown →	Cartography and Geographic Information Science	Yuhao Kang, Song Gao et al.	33
8	No “true” greenery: Deciphering the bias of satellite and street view imagery in urban greenery measurement	Building and Environment	Chang Liu, Yuhao Kang et al.	10
9	From hearing to seeing: Linking auditory and visual place perceptions with soundscape-to-image generative artificial intelligence	Computers Environment and Urban Systems	Yuhao Kang, Teng Fei et al.	16
10	Place identity: a generative AI’s perspective	Humanities and Social Sciences Communications	Yuhao Kang, Junghwan Kim et al.	13
11	Transferred Bias Uncovers the Balance Between the Development of Physical and Socioeconomic Environments of Cities	Annals of the American Association of Geographers	Fan Zhang, Yuhao Kang et al.	4
12	GISphere Knowledge Graph for Geography Education: Recommending Graduate Geographic Information System/Science Programs	Transactions in GIS	Wenwen Li, Bing Zhou et al.	0
13	Assessing differences in safety perceptions using GeoAI and survey across neighbourhoods in Stockholm, Sweden	Landscape and Urban Planning	Yuhao Kang, Vânia Ceccato et al.	57
14	STICC: a multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity	International Journal of Geographical Information Systems	Yuhao Kang, Song Gao et al.	15
15	Exploring the spatial disparity of home‐dwelling time patterns in the USA during the COVID‐19 pandemic via Bayesian inference	Transactions in GIS	Xiao Huang, Yang Xu et al.	14
16	Intracounty modeling of COVID-19 infection with human mobility: Assessing spatial heterogeneity with business traffic, age, and race	Proceedings of the National Academy of Sciences	Xiao Hua Hou, Song Gao et al.	101
17	Urban infrastructure audit: an effective protocol to digitize signalized intersections by mining street view images	Cartography and Geographic Information Science	Xiao Li, Huan Ning et al.	12
18	A review of urban physical environment sensing using street view imagery in public health studies	Annals of GIS	Yuhao Kang, Fan Zhang et al.	201
19	Transferring multiscale map styles using generative adversarial networks	International Journal of Cartography	Yuhao Kang, Song Gao et al.	69
20	County-level corn yield prediction using deep transfer learning	AGU Fall Meeting Abstracts	Yongkui Ma, Yuhao Kang et al.	5

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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