Jinlong Wang

769 citations
36 papers · 391 indexed · h-index 9
Topics
Data Mining Algorithms and Applications (6 papers)Blockchain Technology Applications and Security (6 papers)Imbalanced Data Classification Techniques (4 papers)
Journals
SHILAP Revista de lepidopterologíaChemical Physics LettersSensors
Partner nations
ChinaAustraliaSweden

In The Last Decade

Jinlong Wang

30 papers receiving 372 citations

Peers

Jinlong Wang
Comparison fields: 5 of 79
  • Information Systems 123
  • Cognitive Neuroscience 104
  • Artificial Intelligence 93
  • Signal Processing 81
  • Computer Vision and Pattern Recognition 37
Replace Yihong Dong with:
Yihong Dong China
Amir Jalaly Bidgoly Iran
Bin Xia China
Cosimo Birtolo Italy
Yunyao Li United States
Amadeo-José Argüelles-Cruz Mexico
Chien‐Chang Hsu Taiwan
Monalisa Sarma India
Jinlong Wang relative to Yihong Dong China Yihong Dong's profile →
Citations per field
00.5×
Yihong Dong · 1×
Citations per year

Countries citing papers authored by Jinlong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jinlong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinlong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jinlong Wang. A scholar is included among the top collaborators of Jinlong Wang 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 Jinlong Wang. Jinlong Wang 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 0
2 0
3 14
4 1
5 6
6 4
7 3
8 2
9 10
10 1
11 66
12 5
13 22
14 1
15 1
16 1
17 2
18 1
19
Data mining toward literature analysis
2
20 3

About Jinlong Wang

Jinlong Wang is a scholar working on Information Systems, Artificial Intelligence and Signal Processing, having authored 36 papers that have together received 391 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (6 papers), Blockchain Technology Applications and Security (6 papers) and Imbalanced Data Classification Techniques (4 papers). The work is most often cited by research in Signal Processing (81 citations), Information Systems (123 citations) and Cognitive Neuroscience (104 citations). Jinlong Wang has collaborated with scholars based in China, Australia and Sweden. Frequent co-authors include Banghua Yang, Kaiwen Duan, Zilong Jin, Huiling Chen, Weizheng Wang, Lejun Zhang, Yansen Su, Tianlai Li, Xiaohui Zhao and Zhennao Cai. Their work appears in journals such as SHILAP Revista de lepidopterología, Chemical Physics Letters 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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