Jiajun Liang

2.6k total citations
10 papers, 362 citations indexed

About

Jiajun Liang is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Jiajun Liang has authored 10 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Jiajun Liang's work include Online Learning and Analytics (3 papers), Software System Performance and Reliability (3 papers) and Multimodal Machine Learning Applications (2 papers). Jiajun Liang is often cited by papers focused on Online Learning and Analytics (3 papers), Software System Performance and Reliability (3 papers) and Multimodal Machine Learning Applications (2 papers). Jiajun Liang collaborates with scholars based in China, United States and Hong Kong. Jiajun Liang's co-authors include Zheng Li, Cong Yao, Zhaoyi Wan, Jian Zhang, Pengyuan Lyu, Xiang Bai, Minghui Liao, Jian Yang, Yongji Wu and Yi Zhou and has published in prestigious journals such as Pattern Recognition, Multimedia Tools and Applications and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Jiajun Liang

8 papers receiving 358 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jiajun Liang China	8	189	125	109	56	33	10	362
Paul Swoboda Germany	10	127 0.7×	25 0.2×	83 0.8×	12 0.2×	40 1.2×	22	248
Jawad Hasan Alkhateeb Saudi Arabia	12	289 1.5×	8 0.1×	139 1.3×	136 2.4×	8 0.2×	28	363
Nithin Raj India	5	33 0.2×	32 0.3×	186 1.7×	13 0.2×	51 1.5×	9	258
Valerio Luconi Italy	8	27 0.1×	39 0.3×	71 0.7×	14 0.3×	170 5.2×	25	258
Manisha Verma United States	10	84 0.4×	20 0.2×	220 2.0×	14 0.3×	101 3.1×	28	410
Cise Midoglu Norway	10	128 0.7×	14 0.1×	62 0.6×	23 0.4×	82 2.5×	46	272
Liangming Pan Singapore	10	108 0.6×	56 0.4×	353 3.2×	4 0.1×	14 0.4×	26	427
Guangzhi Zhang China	6	73 0.4×	7 0.1×	135 1.2×	10 0.2×	58 1.8×	15	303
Zainab Abu Bakar Malaysia	9	52 0.3×	8 0.1×	199 1.8×	6 0.1×	7 0.2×	80	347

Countries citing papers authored by Jiajun Liang

Since Specialization

Citations

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

Fields of papers citing papers by Jiajun Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiajun Liang

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Zhao, Zhenyu, et al.. (2025). Enhancing knowledge distillation for semantic segmentation through text-assisted modular plugins. Pattern Recognition. 161. 111329–111329.

2.

Liang, Jiajun, Huijuan Pan, Jing Qin, et al.. (2023). Echocardiographic segmentation based on semi-supervised deep learning with attention mechanism. Multimedia Tools and Applications. 83(12). 36953–36973.

3.

Yang, Lingfeng, Xiang Li, Renjie Song, et al.. (2022). Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10935–10944. 27 indexed citations

4.

Yu, Bingbing, et al.. (2022). DarkVisionNet: Low-Light Imaging via RGB-NIR Fusion with Deep Inconsistency Prior. Proceedings of the AAAI Conference on Artificial Intelligence. 36(1). 1104–1112. 26 indexed citations

5.

Xu, Ying, Yi Wang, Jiajun Liang, & Yong Jiang. (2020). Augmentation Data Synthesis Via Gans: Boosting Latent Fingerprint Reconstruction. 2932–2936. 11 indexed citations

6.

Liang, Jiajun, et al.. (2019). MelanomaNet: An Effective Network for Melanoma Detection. PubMed. 2019. 1613–1616. 11 indexed citations

7.

Liao, Minghui, Jian Zhang, Zhaoyi Wan, et al.. (2019). Scene Text Recognition from Two-Dimensional Perspective. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 8714–8721. 148 indexed citations

8.

Liang, Jiajun, et al.. (2016). Big Data Application in Education: Dropout Prediction in Edx MOOCs. 440–443. 74 indexed citations

9.

Yang, Jian, et al.. (2016). Discover learning behavior patterns to predict certification. 69–73. 7 indexed citations

10.

Liang, Jiajun, et al.. (2016). Machine learning application in MOOCs: Dropout prediction. 52–57. 58 indexed citations

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.

Explore authors with similar magnitude of impact