H. Lu

8.6k citations
26 papers · 238 · h-index 9

Impact in

Papers in

H. Lu

24 papers receiving 226 citations

Peers

H. Lu
Comparison fields: 5 of 60
  • Computer Networks and Communications 78
  • Computer Graphics and Computer-Aided Design 10
  • Hardware and Architecture 19
  • Computer Vision and Pattern Recognition 47
  • Information Systems 40
Replace Brett Wilson with:
Brett Wilson United States
Jens Volkert Austria
Zhuo Liu China
Jaya Prakash Champati Sweden
Akhtar Rasool India
Andriy Kovalenko Ukraine
Carsten Trinitis Germany
Yao Zhu Germany
Marin Bertier France
V. Mahadevan Australia
H. Lu relative to Brett Wilson United States Brett Wilson's profile →
Citations per field
00.5×10×15×20.7×
Brett Wilson · 1×
Citations per year

Countries citing papers authored by H. Lu

Since Specialization
Citations

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

Fields of papers citing papers by H. Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201553
2 202431
3 201620
4 202219
5 202417
6 202116
7 202211
8 202111
9 201810
10 20247
11 20227
12 20256
13 20245
14 20245
15 20223
16 20253
17 20123
18 20193
19 20252
20 20222

About H. Lu

H. Lu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Information Systems, having authored 26 papers that have together received 238 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Distributed systems and fault tolerance (4 papers), Natural Language Processing Techniques (3 papers), Advanced Data Storage Technologies (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Advanced Graph Neural Networks (2 papers), Multimodal Machine Learning Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computer Networks and Communications (78 citations), Computer Graphics and Computer-Aided Design (10 citations), Hardware and Architecture (19 citations), Computer Vision and Pattern Recognition (47 citations) and Information Systems (40 citations). H. Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wyatt Lloyd, Chen Chen, X. Sheldon Lin, Junhao Liang, Yee Jiun Song, J. M. Hunt, Kaushik Veeraraghavan, Sanjeev Kumar, Hailin Hu and Shuai Mu. Their work appears in journals such as Environmental Pollution, IEEE Transactions on Visualization and Computer Graphics, Neurocomputing, Analytical Chemistry and Sensors.

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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