Can Yang

473 citations
21 papers · 281 · h-index 8

Impact in

    • Human Mobility and Location-Based Analysis
    • Transportation Planning and Optimization
    • Urban Transport and Accessibility
    • Data Management and Algorithms

Papers in

    • Data Management and Algorithms 9
    • Human Mobility and Location-Based Analysis 6
    • Transportation Planning and Optimization 3

Can Yang

21 papers receiving 271 citations

Peers

Can Yang
Comparison fields: 5 of 50
  • Transportation 122
  • Signal Processing 106
  • Building and Construction 111
  • Geography, Planning and Development 28
  • Automotive Engineering 34
Replace Kun Ouyang with:
Kun Ouyang China
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Can Yang relative to Kun Ouyang China Kun Ouyang's profile →
Citations per field
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Kun Ouyang · 1×
Citations per year

Countries citing papers authored by Can Yang

Since Specialization
Citations

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

Fields of papers citing papers by Can Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Can Yang, 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 Can Yang Line = papers co-authored together Can Yang 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 2017164
2 202417
3 201716
4 202011
5 20219
6 20228
7 20068
8 20198
9 20237
10 20227
11
Demonstration of intelligent transport applications using freight transport GPS data
20165
12 20235
13 20243
14 20153
15 20242
16 20132
17 20232
18
The speech recognition system based on MATLAB and BP neural networks
20091
19 20221
20 20051

About Can Yang

Can Yang is a scholar working on Signal Processing, Transportation, Computer Vision and Pattern Recognition, Information Systems and Ocean Engineering, having authored 21 papers that have together received 281 indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Human Mobility and Location-Based Analysis (6 papers), Automated Road and Building Extraction (4 papers), Traffic Prediction and Management Techniques (4 papers), Transportation Planning and Optimization (3 papers), Recommender Systems and Techniques (3 papers), Advanced Algorithms and Applications (2 papers) and Advanced Steganography and Watermarking Techniques (2 papers). The work is most often cited by research in Transportation (122 citations), Signal Processing (106 citations), Building and Construction (111 citations), Geography, Planning and Development (28 citations) and Automotive Engineering (34 citations). Can Yang has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Győző Gidófalvi, Peng Yue, Chang Wei Tan, Qin Zhou, Xiangyang Luo, Yunhuai Liu, Jing Zhao, Xiaoliang Ma, Yiwei Song and Desheng Zhang. Their work appears in journals such as ISPRS International Journal of Geo-Information, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, International Journal of Mechanical Sciences, Sensors and Geo-spatial Information Science.

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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