Jianlong Chang

67 total papers · 2.3k total citations
37 papers, 1.4k citations indexed

About

Jianlong Chang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Jianlong Chang has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Jianlong Chang's work include Advanced Neural Network Applications (12 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Jianlong Chang is often cited by papers focused on Advanced Neural Network Applications (12 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Jianlong Chang collaborates with scholars based in China, Australia and United States. Jianlong Chang's co-authors include Shiming Xiang, Chunhong Pan, Gaofeng Meng, Lingfeng Wang, Qi Tian, Jian Cheng, Yang Yang, Qi Zhang, Guan-An Wang and Liang Xu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Advanced Energy Materials and IEEE Transactions on Image Processing.

In The Last Decade

Jianlong Chang

36 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jianlong Chang	820	522	211	153	140	37	1.4k
Ling Cai	682 0.8×	272 0.5×	210 1.0×	225 1.5×	88 0.6×	48	1.5k
Fabien Moutarde	519 0.6×	205 0.4×	158 0.7×	77 0.5×	259 1.9×	52	1.2k
Lingbo Liu	803 1.0×	566 1.1×	508 2.4×	502 3.3×	155 1.1×	52	1.7k
Guangyu Zhu	1.1k 1.4×	409 0.8×	70 0.3×	91 0.6×	115 0.8×	88	1.7k
Hefeng Wu	987 1.2×	598 1.1×	131 0.6×	161 1.1×	31 0.2×	54	1.3k
S. Maouche	392 0.5×	656 1.3×	66 0.3×	80 0.5×	166 1.2×	40	1.5k
Zhanxing Zhu	447 0.5×	717 1.4×	432 2.0×	288 1.9×	269 1.9×	52	1.7k
Yuliang Liu	1.3k 1.6×	337 0.6×	260 1.2×	117 0.8×	123 0.9×	74	1.8k
Yan Tian	426 0.5×	204 0.4×	517 2.5×	350 2.3×	353 2.5×	57	1.3k
Bo Dai	555 0.7×	488 0.9×	142 0.7×	81 0.5×	130 0.9×	53	1.1k

Countries citing papers authored by Jianlong Chang

Since Specialization

Citations

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

Fields of papers citing papers by Jianlong Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianlong Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Jianlong Chang. A scholar is included among the top collaborators of Jianlong Chang 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 Jianlong Chang. Jianlong Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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