Howard Lei

751 citations
26 papers · 318 · h-index 10

Impact in

Papers in

Howard Lei

25 papers receiving 293 citations

Peers

Howard Lei
Comparison fields: 5 of 66
  • Signal Processing 125
  • Computer Vision and Pattern Recognition 70
  • Information Systems 69
  • Artificial Intelligence 98
  • Management Information Systems 26
Replace Panos Kostakos with:
Panos Kostakos Finland
Panos Constantopoulos Greece
Νικόλαος Κωνσταντίνου Greece
Melinda Gervasio United States
Adeleh Asemi Malaysia
Zora Konjović Serbia
Alberto Fernández-Isabel Spain
Krešimir Fertalj Croatia
Seppo Törmä Finland
Thomas Springer Germany
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Citations per field
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Citations per year

Countries citing papers authored by Howard Lei

Since Specialization
Citations

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

Fields of papers citing papers by Howard Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Howard Lei, 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 Howard Lei Line = papers co-authored together Howard Lei 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 2015112
2 200925
3 201222
4 201118
5 201216
6 201116
7
The 2010 ICSI Video Location Estimation System
201014
8 200713
9 201312
10 201710
11 20129
12
Predicting Reliability of Lithium Ion Batteries
20149
13 20138
14 20075
15
Matching Artificial Reverb Settings to Unknown Room Recordings: A Recommendation System for Reverb Plugins
20124
16 20124
17 20114
18
Structured approaches to data selection for speaker recognition
20103
19 20093
20 20173

About Howard Lei

Howard Lei is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Information Systems, having authored 26 papers that have together received 318 indexed citations. Recurring topics across this work include Music and Audio Processing (14 papers), Speech Recognition and Synthesis (12 papers), Speech and Audio Processing (12 papers), Video Analysis and Summarization (5 papers), Advanced Image and Video Retrieval Techniques (3 papers), Digital Media Forensic Detection (2 papers), Indoor and Outdoor Localization Technologies (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Signal Processing (125 citations), Computer Vision and Pattern Recognition (70 citations), Information Systems (69 citations), Artificial Intelligence (98 citations) and Management Information Systems (26 citations). Howard Lei has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Gerald Friedland, Jaeyoung Choi, Eduardo López, Nils Peters, Nikki Mirghafori, Adam Janin, Benjamin Elizalde, Bernd T. Meyer, Ajay Divakaran and Robert Mertens. Their work appears in journals such as Journal of the Audio Engineering Society, Robotics and Computer-Integrated Manufacturing and Procedia Manufacturing.

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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