Hsun-Ping Hsieh

1.8k citations
62 papers · 1.3k indexed · 1 hit paper · h-index 11
Topics
Human Mobility and Location-Based Analysis (29 papers)Data Management and Algorithms (17 papers)Transportation Planning and Optimization (10 papers)
Partner nations
TaiwanChinaUnited States

In The Last Decade

Hsun-Ping Hsieh

57 papers receiving 1.2k citations

Hit Papers

U-Air20132026201720212013200400600

Peers

Hsun-Ping Hsieh
Comparison fields: 5 of 105
  • Environmental Engineering 465
  • Transportation 440
  • Health, Toxicology and Mutagenesis 313
  • Artificial Intelligence 219
  • Automotive Engineering 189
Replace Sergio Trilles with:
Sergio Trilles Spain
Koji Zettsu Japan
Juanjuan Zhao China
Filipe Rodrigues Denmark
Ivana Šemanjski Belgium
Stéfan Müller Arisona Switzerland
Steve Liang Canada
Ruiyun Yu China
Yao‐Yi Chiang United States
Teerayut Horanont Thailand
Hsun-Ping Hsieh relative to Sergio Trilles Spain Sergio Trilles's profile →
Citations per field
00.5×5.1×
Sergio Trilles · 1×
Citations per year

Countries citing papers authored by Hsun-Ping Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Hsun-Ping Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsun-Ping Hsieh. 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 Hsun-Ping Hsieh. The network helps show where Hsun-Ping Hsieh may publish in the future.

Co-authorship network of co-authors of Hsun-Ping Hsieh

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 5
5 3
6 10
7 3
8 2
9 7
10 8
11
Measuring and recommending time-sensitive routes from location-based data
2
12 2
13 2
14 680
15 62
16 0
17
Feature Engineering and Classifier Ensemble for KDD Cup 2010
89
18 15
19
The NEAT Archive - A Photometrically Accurate Data Set
0
20
Chaetopterid Polychaetes from Taiwan and Okinawa Island (Japan), with Descriptions of Two New Species
7

About Hsun-Ping Hsieh

Hsun-Ping Hsieh is a scholar working on Transportation, Signal Processing and Geography, Planning and Development, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (29 papers), Data Management and Algorithms (17 papers) and Transportation Planning and Optimization (10 papers). The work is most often cited by research in Transportation (440 citations), Computer Science Applications (188 citations) and Environmental Engineering (465 citations). Hsun-Ping Hsieh has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yu Zheng, Furui Liu, Shou-De Lin, Cheng–Te Li, Tsung-Ting Kuo, Che‐Wei Chang, Ching‐Chung Ko, Yu-Shi Lin, Hsuan-Tien Lin and Hsiang‐Fu Yu. Their work appears in journals such as Applied Sciences, Frontiers in Oncology and Computer Assisted Language Learning.

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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