Jun Long

3.9k citations
191 papers · 2.8k · 2 hit papers · h-index 27

Impact in

Papers in

Jun Long

177 papers receiving 2.6k citations

Jun Long's Hit Papers

HiFuse: Hierarchical multi-scale feature fusion network for medical image classification 2023 · 156 citations
1560+3+7Years since publication100200300

Peers

Jun Long
Comparison fields: 5 of 142
  • Computer Networks and Communications 748
  • Artificial Intelligence 998
  • Statistical and Nonlinear Physics 298
  • Computer Vision and Pattern Recognition 495
  • Information Systems 422
Replace Chao Yang with:
Chao Yang China
Paolo Avesani Italy
Sannyuya Liu China
Lei Shi China
Kensuke Fukuda Japan
Jin Cao United States
Gideon Dror Israel
Xiaojun Chen China
Alfredo Milani Italy
Jun Long relative to Chao Yang China Chao Yang's profile →
Citations per field
00.5×2.8×
Chao Yang · 1×
Citations per year

Countries citing papers authored by Jun Long

Since Specialization
Citations

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

Fields of papers citing papers by Jun Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 191 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Lexicon-based Approach for Hate Speech Detection
Hit paper breakdown →
2015351
2 2016214
3
HiFuse: Hierarchical multi-scale feature fusion network for medical image classification
Hit paper breakdown →
2023156
4 2021109
5 2014103
6 201895
7 202183
8 201973
9 201854
10 201548
11 201747
12 201944
13 201542
14 201836
15 201536
16 202136
17 201635
18 201835
19 201534
20 201834

About Jun Long

Jun Long is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Information Systems and Aerospace Engineering, having authored 191 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (37 papers), Energy Efficient Wireless Sensor Networks (20 papers), Multimodal Machine Learning Applications (19 papers), Satellite Communication Systems (17 papers), Image Retrieval and Classification Techniques (14 papers), Video Surveillance and Tracking Methods (13 papers), Video Analysis and Summarization (12 papers) and Data Management and Algorithms (12 papers). The work is most often cited by research in Computer Networks and Communications (748 citations), Artificial Intelligence (998 citations), Statistical and Nonlinear Physics (298 citations), Computer Vision and Pattern Recognition (495 citations) and Information Systems (422 citations). Jun Long has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zuping Zhang, Damien Hanyurwimfura, Zhan Yang, Kaoru Ota, Mianxiong Dong, Anfeng Liu, Hao Zhang, Kewen Chen, Bin Wang and Jinfang Sheng. Their work appears in journals such as IEEE Access, Expert Systems with Applications, Knowledge-Based Systems, Multimedia Tools and Applications 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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