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 — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuhao Kang United States	26	928	625	402	364	332	66	2.3k
Yang Yue China	26	2.1k 2.2×	776 1.2×	215 0.5×	181 0.5×	706 2.1×	115	3.2k
Xiaohu Zhang China	34	1.7k 1.8×	698 1.1×	444 1.1×	57 0.2×	708 2.1×	171	4.1k
Zihan Kan Hong Kong	22	630 0.7×	388 0.6×	428 1.1×	185 0.5×	241 0.7×	67	1.4k
Bernd Resch Austria	29	883 1.0×	471 0.8×	332 0.8×	55 0.2×	280 0.8×	151	3.1k
Yang Xu Hong Kong	26	1.7k 1.8×	487 0.8×	131 0.3×	102 0.3×	350 1.1×	90	2.4k
Zhou Huang China	29	917 1.0×	493 0.8×	145 0.4×	53 0.1×	429 1.3×	177	2.6k
Chaogui Kang China	24	2.2k 2.3×	850 1.4×	183 0.5×	45 0.1×	409 1.2×	45	2.8k
Ed Manley United Kingdom	23	997 1.1×	297 0.5×	88 0.2×	169 0.5×	379 1.1×	76	2.4k
Yoshihide Sekimoto Japan	26	983 1.1×	339 0.5×	76 0.2×	128 0.4×	455 1.4×	156	3.2k
George Grekousis China	18	437 0.5×	618 1.0×	534 1.3×	73 0.2×	152 0.5×	43	1.6k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kang, Yuhao, Vânia Ceccato, Per Näsman, et al.. (2025). Crime and Visually Perceived Safety of the Built Environment: A Deep Learning Approach. Annals of the American Association of Geographers. 115(7). 1613–1633. 2 indexed citations

Zhang, Fan, Yong Li, Haifeng Li, et al.. (2025). Urban sensing in the era of large language models. The Innovation. 6(1). 100749–100749. 11 indexed citations

Duarte, Fábio, et al.. (2025). Feeling Nature: Measuring perceptions of biophilia across global biomes using visual AI. npj Urban Sustainability. 5(1). 3 indexed citations

Guo, Song, et al.. (2025). Urban visual uniqueness: A landmark-free framework to quantify city's identity and distinctiveness from everyday scenes. Computers Environment and Urban Systems. 122. 102351–102351.

Ceccato, Vânia, Yuhao Kang, Per Näsman, et al.. (2025). What Makes a Place Safe? Assessing AI-Generated Safety Perception Scores Using Stockholm’s Street View Images. The British Journal of Criminology. 66(2). 265–289.

Ito, Koichi, et al.. (2024). Understanding urban perception with visual data: A systematic review. Cities. 152. 105169–105169. 54 indexed citations breakdown →

Kang, Yuhao, Song Gao, & Robert E. Roth. (2024). Artificial intelligence studies in cartography: a review and synthesis of methods, applications, and ethics. Cartography and Geographic Information Science. 51(4). 599–630. 33 indexed citations breakdown →

Liu, Chang, Yuhao Kang, Fan Zhang, et al.. (2024). No “true” greenery: Deciphering the bias of satellite and street view imagery in urban greenery measurement. Building and Environment. 269. 112395–112395. 10 indexed citations

Kang, Yuhao, et al.. (2024). From hearing to seeing: Linking auditory and visual place perceptions with soundscape-to-image generative artificial intelligence. Computers Environment and Urban Systems. 110. 102122–102122. 16 indexed citations

10.

Kang, Yuhao, et al.. (2024). Place identity: a generative AI’s perspective. Humanities and Social Sciences Communications. 11(1). 13 indexed citations

11.

Zhang, Fan, et al.. (2024). Transferred Bias Uncovers the Balance Between the Development of Physical and Socioeconomic Environments of Cities. Annals of the American Association of Geographers. 115(1). 148–166. 4 indexed citations

12.

Li, Wenwen, et al.. (2024). GISphere Knowledge Graph for Geography Education: Recommending Graduate Geographic Information System/Science Programs. Transactions in GIS. 29(1).

13.

Kang, Yuhao, Vânia Ceccato, Fábio Duarte, et al.. (2023). Assessing differences in safety perceptions using GeoAI and survey across neighbourhoods in Stockholm, Sweden. Landscape and Urban Planning. 236. 104768–104768. 57 indexed citations

14.

Kang, Yuhao, Song Gao, Ignavier Ng, et al.. (2022). STICC: a multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity. International Journal of Geographical Information Systems. 36(8). 1518–1549. 15 indexed citations

15.

Huang, Xiao, Yang Xu, Siqin Wang, et al.. (2022). Exploring the spatial disparity of home‐dwelling time patterns in the USA during the COVID‐19 pandemic via Bayesian inference. Transactions in GIS. 26(4). 1939–1961. 14 indexed citations

16.

Hou, Xiao Hua, Song Gao, Qin Li, et al.. (2021). 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. 118(24). 101 indexed citations

17.

Li, Xiao, Huan Ning, Xiao Huang, et al.. (2021). Urban infrastructure audit: an effective protocol to digitize signalized intersections by mining street view images. Cartography and Geographic Information Science. 49(1). 32–49. 12 indexed citations

18.

Kang, Yuhao, Fan Zhang, Song Gao, Hui Lin, & Yu Liu. (2020). A review of urban physical environment sensing using street view imagery in public health studies. Annals of GIS. 26(3). 261–275. 201 indexed citations

19.

Kang, Yuhao, Song Gao, & Robert E. Roth. (2019). Transferring multiscale map styles using generative adversarial networks. International Journal of Cartography. 5(2-3). 115–141. 69 indexed citations

20.

Ma, Yongkui, et al.. (2019). County-level corn yield prediction using deep transfer learning. AGU Fall Meeting Abstracts. 2019. 5 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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