Zeliang Song

433 total citations
6 papers, 266 citations indexed

About

Zeliang Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Zeliang Song has authored 6 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Management Science and Operations Research. Recurrent topics in Zeliang Song's work include Advanced Image and Video Retrieval Techniques (3 papers), Multimodal Machine Learning Applications (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Zeliang Song is often cited by papers focused on Advanced Image and Video Retrieval Techniques (3 papers), Multimodal Machine Learning Applications (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Zeliang Song collaborates with scholars based in China and Australia. Zeliang Song's co-authors include Xiaofei Zhou, Qiannan Zhu, Jianlong Tan, Li Guo, Shirui Pan, Li Guo, Yue Yuan, Zhendong Mao, Ying Sha and Changjian Wang and has published in prestigious journals such as Monash University Research Portal (Monash University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Zeliang Song

6 papers receiving 260 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zeliang Song China	6	207	121	76	15	12	6	266
Shangwen Lv China	7	285 1.4×	74 0.6×	55 0.7×	17 1.1×	11 0.9×	11	309
Kangyi Lin China	6	160 0.8×	158 1.3×	57 0.8×	26 1.7×	11 0.9×	9	207
Leonhard Hennig Germany	10	250 1.2×	61 0.5×	27 0.4×	11 0.7×	8 0.7×	33	291
Catherine Berrut France	8	103 0.5×	70 0.6×	82 1.1×	11 0.7×	14 1.2×	16	205
Francesco Piccinno Italy	9	200 1.0×	39 0.3×	47 0.6×	30 2.0×	6 0.5×	16	239
Jifan Yu China	9	215 1.0×	85 0.7×	36 0.5×	30 2.0×	8 0.7×	32	262
Yunzhi Yao China	4	273 1.3×	40 0.3×	39 0.5×	25 1.7×	11 0.9×	5	315
Qingyu Yin United States	11	218 1.1×	41 0.3×	49 0.6×	6 0.4×	5 0.4×	30	239
Hyokun Yun United States	5	92 0.4×	53 0.4×	59 0.8×	12 0.8×	22 1.8×	7	162
Sarah Zelikovitz United States	8	225 1.1×	86 0.7×	45 0.6×	6 0.4×	13 1.1×	21	272

Countries citing papers authored by Zeliang Song

Since Specialization

Citations

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

Fields of papers citing papers by Zeliang Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeliang Song

This figure shows the co-authorship network connecting the top 25 collaborators of Zeliang Song. A scholar is included among the top collaborators of Zeliang Song 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 Zeliang Song. Zeliang Song 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:

6 of 6 papers shown

1.

Wang, Changjian, et al.. (2022). Exploring Relational Semantics for Inductive Knowledge Graph Completion. Proceedings of the AAAI Conference on Artificial Intelligence. 36(4). 4184–4192. 19 indexed citations

2.

Song, Zeliang, et al.. (2021). Direction Relation Transformer for Image Captioning. 5056–5064. 25 indexed citations

3.

Song, Zeliang & Xiaofei Zhou. (2021). Exploring Explicit And Implicit Visual Relationships For Image Captioning. 1–6. 6 indexed citations

4.

Song, Zeliang, Xiaofei Zhou, Zhendong Mao, & Jianlong Tan. (2021). Image Captioning with Context-Aware Auxiliary Guidance. Proceedings of the AAAI Conference on Artificial Intelligence. 35(3). 2584–2592. 21 indexed citations

5.

Yuan, Yue, Xiaofei Zhou, Shirui Pan, et al.. (2020). A Relation-Specific Attention Network for Joint Entity and Relation Extraction. Monash University Research Portal (Monash University). 4054–4060. 77 indexed citations

6.

Zhu, Qiannan, Xiaofei Zhou, Zeliang Song, Jianlong Tan, & Li Guo. (2019). DAN: Deep Attention Neural Network for News Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 5973–5980. 118 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.

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