Xin Han

422 citations
14 papers · 287 · 1 hit paper · h-index 7

Impact in

Papers in

Xin Han

11 papers receiving 283 citations

Xin Han's Hit Papers

Measuring residents’ perceptions of city streets to inform better street planning through deep learning and space syntax 2022 · 162 citations
1620+1+2Years since publication50100150

Peers

Xin Han
Comparison fields: 5 of 54
  • Transportation 81
  • Health, Toxicology and Mutagenesis 142
  • Speech and Hearing 49
  • Global and Planetary Change 116
  • Building and Construction 68
Replace Jin Rui with:
Jin Rui Germany
Xiucheng Liang Singapore
Chongxian Chen China
Xiaokai Huang China
Zehao Yuan China
Yingpeng Li China
Elias Willberg Finland
Arianna Salazar Miranda United States
Shunyi Liao China
Xin Han relative to Jin Rui Germany Jin Rui's profile →
Citations per field
00.5×3.8×
Jin Rui · 1×
Citations per year

Countries citing papers authored by Xin Han

Since Specialization
Citations

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

Fields of papers citing papers by Xin Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Xin Han, 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 Xin Han Line = papers co-authored together Xin Han links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Measuring residents’ perceptions of city streets to inform better street planning through deep learning and space syntax
Hit paper breakdown →
2022162
2 202264
3 202323
4 20239
5 20237
6 20237
7 20247
8 20245
9 20241
10 20241
11 20251
12 20240
13 20260
14 20260

About Xin Han

Xin Han is a scholar working on Global and Planetary Change, Health, Toxicology and Mutagenesis, Speech and Hearing, Social Psychology and Transportation, having authored 14 papers that have together received 287 indexed citations. Recurring topics across this work include Urban Green Space and Health (6 papers), Land Use and Ecosystem Services (5 papers), Noise Effects and Management (4 papers), Color perception and design (2 papers), COVID-19 epidemiological studies (2 papers), Remote Sensing and Land Use (2 papers), Impact of Light on Environment and Health (2 papers) and Urban Design and Spatial Analysis (2 papers). The work is most often cited by research in Transportation (81 citations), Health, Toxicology and Mutagenesis (142 citations), Speech and Hearing (49 citations), Global and Planetary Change (116 citations) and Building and Construction (68 citations). Xin Han has collaborated with scholars based in China, South Korea and Germany. Frequent co-authors include Jie He, Lei Wang, Seong Hyeok Seo, Lei Wang, Jun Wu, Lei Wang, Jun Wang, Fenzhen Su, Jie Liu and Yu Zhu. Their work appears in journals such as Frontiers in Public Health, PLoS ONE, International Journal of Applied Earth Observation and Geoinformation, Journal of Urban Planning and Development and ISPRS Journal of Photogrammetry and Remote Sensing.

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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