How‐Lung Eng

2.3k citations
53 papers · 1.6k indexed · h-index 16

How‐Lung Eng

50 papers receiving 1.5k citations

Peers

How‐Lung Eng
Comparison fields: 5 of 114
  • Computer Vision and Pattern Recognition 1.1k
  • Media Technology 383
  • Signal Processing 340
  • Cognitive Neuroscience 291
  • Artificial Intelligence 284
Replace N. Michael Mayer with:
N. Michael Mayer Taiwan
Kebin Jia China
Jin Xie China
Manoranjan Paul Australia
Noboru Sugie Japan
Fu Li China
Jing Pan China
Ergun Erçelebi Türkiye
Simone Bianco Italy
Shahrel Azmin Suandi Malaysia
How‐Lung Eng relative to N. Michael Mayer Taiwan N. Michael Mayer's profile →
Citations per field
00.5×11.3×
N. Michael Mayer · 1×
Citations per year

Countries citing papers authored by How‐Lung Eng

Since Specialization
Citations

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

Fields of papers citing papers by How‐Lung Eng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by How‐Lung Eng. 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 How‐Lung Eng. The network helps show where How‐Lung Eng may publish in the future.

Co-authorship network of co-authors of How‐Lung Eng

This figure shows the co-authorship network connecting the top 25 collaborators of How‐Lung Eng. A scholar is included among the top collaborators of How‐Lung Eng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with How‐Lung Eng. How‐Lung Eng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 10
3 1
4 35
5 5
6 15
7 1
8 251
9 27
10
Automatic Analysis of Fish Behaviors and Abnormality Detection
9
11
Vision-based Real-time Monitoring on the Behavior of Fish School
11
12 1
13 61
14 42
15 32
16 6
17 19
18 13
19 437
20 6

About How‐Lung Eng

How‐Lung Eng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Water Science and Technology, having authored 53 papers that have together received 1.6k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (28 papers), Human Pose and Action Recognition (11 papers) and Image Enhancement Techniques (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Media Technology (383 citations) and Signal Processing (340 citations). How‐Lung Eng has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include Kai-Kuang Ma, Xudong Jiang, Haiping Lu, Cuntai Guan, Kar‐Ann Toh, A.N. Venetsanopoulos, Konstantinos N. Plataniotis, Paolo Remagnino, Wei‐Yun Yau and Junxian Wang. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

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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