H. Lu

8.3k citations
24 papers · 221 · h-index 9

Impact in

Papers in

H. Lu

24 papers receiving 209 citations

Peers

H. Lu
Comparison fields: 5 of 65
  • Computer Networks and Communications 77
  • Hardware and Architecture 18
  • Computer Graphics and Computer-Aided Design 9
  • Computer Vision and Pattern Recognition 45
  • Information Systems 40
Replace Jaya Prakash Champati with:
Jaya Prakash Champati Sweden
Kevin Zhang United States
Zhishu Li China
Xunxun Chen China
Jens Volkert Austria
Nenavath Srinivas Naik India
Zhuo Liu China
Gaurav Dhiman India
Akhtar Rasool India
Carsten Trinitis Germany
H. Lu relative to Jaya Prakash Champati Sweden Jaya Prakash Champati's profile →
Citations per field
00.5×3.6×
Jaya Prakash Champati · 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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201552
2 202429
3 201620
4 202217
5 202115
6 202414
7 202111
8 202210
9 201810
10 20226
11 20256
12 20245
13 20245
14 20245
15 20193
16 20123
17 20252
18 20222
19 20251
20 20241

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 24 papers that have together received 221 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), Multimodal Machine Learning Applications (2 papers), Image Retrieval and Classification Techniques (2 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Computer Networks and Communications (77 citations), Hardware and Architecture (18 citations), Computer Graphics and Computer-Aided Design (9 citations), Computer Vision and Pattern Recognition (45 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, Yee Jiun Song, Junhao Liang, Hailin Hu, J. M. Hunt, Kaushik Veeraraghavan, Sanjeev Kumar and Shuai Mu. Their work appears in journals such as Neurocomputing, Analytical Chemistry, Primary care diabetes, Sensors and IEEE Transactions on Visualization and Computer Graphics.

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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