Ping Luo

212 papers receiving 4.3k citations

Ping Luo's Hit Papers

Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks 2015 · 240 citations
2400+3+7Years since publication50100150200

Peers

Ping Luo
Comparison fields: 5 of 176
  • Artificial Intelligence 1.3k
  • Information Systems 926
  • Human-Computer Interaction 252
  • Hepatology 221
  • Software 122
Replace Li Xiong with:
Li Xiong United States
Jens Krüger Germany
Peter Martin Shaw United States
Giancarlo Mauri Italy
Michael R. Berthold Germany
Jaewoo Kang South Korea
Guoqiang Li China
Mehmet Ali Orgun Australia
Kwong‐Sak Leung Hong Kong
Mario Cannataro Italy
Ping Luo relative to Li Xiong United States Li Xiong's profile →
Citations per field
00.5×10×20×27.6×
Li Xiong · 1×
Citations per year

Countries citing papers authored by Ping Luo

Since Specialization
Citations

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

Fields of papers citing papers by Ping Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 223 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017324
2
Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks
Hit paper breakdown →
2015240
3 2017194
4 2019176
5 2015154
6 2018154
7 2012147
8 1993135
9 2013114
10 199297
11 200887
12 201372
13 201270
14 200762
15 201060
16 200958
17 201755
18 201654
19 201353
20 201350

About Ping Luo

Ping Luo is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Software and Radiation, having authored 223 papers that have together received 4.5k indexed citations. Recurring topics across this work include Topic Modeling (34 papers), Domain Adaptation and Few-Shot Learning (16 papers), Data Mining Algorithms and Applications (15 papers), Metabolomics and Mass Spectrometry Studies (10 papers), Web Data Mining and Analysis (10 papers), X-ray Spectroscopy and Fluorescence Analysis (10 papers), Recommender Systems and Techniques (8 papers) and Software Reliability and Analysis Research (8 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Information Systems (926 citations), Human-Computer Interaction (252 citations), Hepatology (221 citations) and Software (122 citations). Ping Luo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qing He, Zhongzhi Shi, Fuzhen Zhuang, Hui Yun Xiong, Robert T. Neches, Pedro A. Szekely, Jianyong Wang, Wei Shen, Min Wang and Yuhong Xiong. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, IEEE Transactions on Knowledge and Data Engineering, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Information Sciences and Future Generation Computer Systems.

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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