Like Jiang

20 papers receiving 354 citations

Peers

Like Jiang
Comparison fields: 5 of 60
  • Speech and Hearing 139
  • Automotive Engineering 49
  • Human-Computer Interaction 33
  • Transportation 24
  • Building and Construction 30
Replace Aniello Pascale with:
Aniello Pascale Italy
Huan Tong United Kingdom
Astrid Helene Amundsen Norway
Maedot S. Andargie Canada
Md. Saniul Alam Ireland
Barbara Ester Adele Piga Italy
Ian H. Flindell United Kingdom
Joost de Kruijf Netherlands
Verena Marie Barthelmes Italy
Junjie Luo China
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Citations per year

Countries citing papers authored by Like Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Like Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Like Jiang, 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 Like Jiang Line = papers co-authored together Like Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201851
2 201733
3 202231
4 201630
5 201529
6 202227
7 202224
8 201522
9 201622
10 202315
11 201714
12
Developing an online Virtual Reality application for e-participation in urban sound planning
201610
13 202110
14 20219
15 20208
16 20207
17 20237
18 20247
19 20206
20 20251

About Like Jiang

Like Jiang is a scholar working on Speech and Hearing, Automotive Engineering, Transportation, Human-Computer Interaction and Economics and Econometrics, having authored 21 papers that have together received 363 indexed citations. Recurring topics across this work include Noise Effects and Management (10 papers), Transportation and Mobility Innovations (2 papers), Vehicle emissions and performance (2 papers), Chronic Kidney Disease and Diabetes (1 paper), Environmental and Social Impact Assessments (1 paper), Smart Cities and Technologies (1 paper), Urban Transport and Accessibility (1 paper) and Wildlife-Road Interactions and Conservation (1 paper). The work is most often cited by research in Speech and Hearing (139 citations), Automotive Engineering (49 citations), Human-Computer Interaction (33 citations), Transportation (24 citations) and Building and Construction (30 citations). Like Jiang has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Jian Kang, Luigi Maffei, Massimiliano Masullo, Michael Vorländer, Haibo Chen, Olaf Schroth, John Nellthorp, Tony Parry, Evangelos Paschalidis and Kaushali Dave. Their work appears in journals such as Transportation Research Part D Transport and Environment, Building and Environment, Transport Policy, Landscape and Urban Planning and Environmental Impact Assessment Review.

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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