Ruolan Hu

1.0k citations
24 papers · 382 · 1 hit paper · h-index 6

Impact in

Papers in

Ruolan Hu

21 papers receiving 372 citations

Ruolan Hu's Hit Papers

TANet: Robust 3D Object Detection from Point Clouds with Triple Attention 2020 · 272 citations
2720+2+4Years since publication50100150200250

Peers

Ruolan Hu
Comparison fields: 5 of 72
  • Computer Vision and Pattern Recognition 244
  • Geology 48
  • Aerospace Engineering 148
  • Automotive Engineering 57
  • Environmental Engineering 61
Replace Jingyi Xu with:
Jingyi Xu China
Jinrong Yang China
Colin McManus United Kingdom
Li Fan China
Chuanbo Yu China
Yazhou Xing China
Guanjun Wu China
Zhaoxi Li China
Yexin Wang China
Shuwei Shao China
Ruolan Hu relative to Jingyi Xu China Jingyi Xu's profile →
Citations per field
00.5×3.8×
Jingyi Xu · 1×
Citations per year

Countries citing papers authored by Ruolan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Ruolan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TANet: Robust 3D Object Detection from Point Clouds with Triple Attention
Hit paper breakdown →
2020272
2 201934
3 202122
4 20249
5 20227
6 20226
7 20215
8 20115
9 20223
10 20093
11 20183
12 20252
13 20102
14 20001
15 20011
16 20211
17 20101
18 20131
19 20071
20 20091

About Ruolan Hu

Ruolan Hu is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering, Molecular Biology, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 382 indexed citations. Recurring topics across this work include Advanced Measurement and Detection Methods (9 papers), Infrared Target Detection Methodologies (9 papers), Calibration and Measurement Techniques (5 papers), Optical Systems and Laser Technology (2 papers), Face recognition and analysis (2 papers), Video Surveillance and Tracking Methods (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (244 citations), Geology (48 citations), Aerospace Engineering (148 citations), Automotive Engineering (57 citations) and Environmental Engineering (61 citations). Ruolan Hu has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Zhe Liu, Tengteng Huang, Xiang Bai, Xin Zhao, Yu Zhou, Xiangying Sun, Wei He, Jiang‐Shan Shen, Bin Liu and Mingyan Jiang. Their work appears in journals such as Annals of Translational Medicine, Frontiers in Pediatrics, Frontiers in Neurology, Talanta and Frontiers in Pharmacology.

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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