Haiping Lu

5.2k citations
151 papers · 3.4k · 2 hit papers · h-index 27

Impact in

Papers in

Haiping Lu

135 papers receiving 3.3k citations

Haiping Lu's Hit Papers

Interpretable bilinear attention network with domain adaptation improves drug–target prediction 2023 · 192 citations
1920+6+12Years since publication200400600

Peers

Haiping Lu
Comparison fields: 5 of 170
  • Computational Mathematics 444
  • Signal Processing 593
  • Computer Vision and Pattern Recognition 1.1k
  • Human-Computer Interaction 223
  • Cognitive Neuroscience 606
Replace Guoqi Li with:
Guoqi Li China
Javier Escudero United Kingdom
Seungjin Choi South Korea
Yuanqing Li China
Vikas Singh United States
Wenwu Wang United Kingdom
Hiroshi Murase Japan
Jun Du China
Lili Qiu United States
Pichao Wang China
Haiping Lu relative to Guoqi Li China Guoqi Li's profile →
Citations per field
00.5×3.4×
Guoqi Li · 1×
Citations per year

Countries citing papers authored by Haiping Lu

Since Specialization
Citations

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

Fields of papers citing papers by Haiping Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MPCA: Multilinear Principal Component Analysis of Tensor Objects
Hit paper breakdown →
2008603
2 2010252
3 2011247
4
Interpretable bilinear attention network with domain adaptation improves drug–target prediction
Hit paper breakdown →
2023192
5 2004154
6 2015112
7 200893
8 200989
9 201687
10 200976
11 202058
12 201853
13 200653
14 201248
15
Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data
201348
16 200845
17 201345
18 201742
19 202240
20 200739

About Haiping Lu

Haiping Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomaterials, Signal Processing and Biomedical Engineering, having authored 151 papers that have together received 3.4k indexed citations. Recurring topics across this work include Calcium Carbonate Crystallization and Inhibition (30 papers), Quantum Information and Cryptography (12 papers), Minerals Flotation and Separation Techniques (12 papers), Blind Source Separation Techniques (12 papers), Gait Recognition and Analysis (11 papers), Human Pose and Action Recognition (10 papers), Face and Expression Recognition (8 papers) and Quantum Computing Algorithms and Architecture (8 papers). The work is most often cited by research in Computational Mathematics (444 citations), Signal Processing (593 citations), Computer Vision and Pattern Recognition (1.1k citations), Human-Computer Interaction (223 citations) and Cognitive Neuroscience (606 citations). Haiping Lu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Konstantinos N. Plataniotis, A.N. Venetsanopoulos, A.N. Venetsanopoulos, Alex C. Kot, How‐Lung Eng, Peizhen Bai, Cuntai Guan, Filip Miljković, Bino John and Y.Q. Shi. Their work appears in journals such as CORROSION, Pattern Recognition, SPE Journal, Nature Machine Intelligence and IEEE Transactions on Biomedical Engineering.

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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