Liyao Tang

412 citations
7 papers · 275 · 1 hit paper · h-index 6

Impact in

Papers in

    • Helicobacter pylori-related gastroenterology studies 3
    • Urinary Bladder and Prostate Research 2

Liyao Tang

7 papers receiving 273 citations

Liyao Tang's Hit Papers

Contrastive Boundary Learning for Point Cloud Segmentation 2022 · 121 citations
1210+1+2Years since publication4080120

Peers

Liyao Tang
Comparison fields: 5 of 78
  • Geology 71
  • Computer Graphics and Computer-Aided Design 24
  • Computational Mechanics 90
  • Environmental Engineering 56
  • Radiology, Nuclear Medicine and Imaging 73
Replace Huidan Wang with:
Huidan Wang China
Zhenzhi Wang China
Shuai Guo China
T. Heimann Germany
William J. Bodziak United States
You Wu United States
Suresh Guluwadi Ethiopia
Alina Nechyporenko Ukraine
Kuangqi Chen China
Liyao Tang relative to Huidan Wang China Huidan Wang's profile →
Citations per field
00.5×10×15×20×22.5×
Huidan Wang · 1×
Citations per year

Countries citing papers authored by Liyao Tang

Since Specialization
Citations

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

Fields of papers citing papers by Liyao Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Contrastive Boundary Learning for Point Cloud Segmentation
Hit paper breakdown →
2022121
2 202284
3 201830
4 201914
5 202112
6 201911
7 20223

About Liyao Tang

Liyao Tang is a scholar working on Surgery, Urology, Epidemiology, Small Animals and Radiation, having authored 7 papers that have together received 275 indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (3 papers), Urinary Bladder and Prostate Research (2 papers), Galectins and Cancer Biology (1 paper), Mycobacterium research and diagnosis (1 paper), Remote Sensing and LiDAR Applications (1 paper), Phytochemistry and Bioactive Compounds (1 paper), MicroRNA in disease regulation (1 paper) and Nuclear Physics and Applications (1 paper). The work is most often cited by research in Geology (71 citations), Computer Graphics and Computer-Aided Design (24 citations), Computational Mechanics (90 citations), Environmental Engineering (56 citations) and Radiology, Nuclear Medicine and Imaging (73 citations). Liyao Tang has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Yibing Zhan, Dacheng Tao, Baosheng Yu, Zhe Chen, Fukuan Du, Qinglian Wen, Yueshui Zhao, Mingxing Li, Yu Chen and Xu Wu. Their work appears in journals such as Frontiers in Pharmacology, Frontiers in Microbiology, Neurourology and Urodynamics, Molecular Therapy — Oncolytics and Cellular Microbiology.

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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