Songyang Zhang

4.2k total citations · 1 hit paper
41 papers, 1.6k citations indexed

About

Songyang Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Songyang Zhang has authored 41 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Songyang Zhang's work include Multimodal Machine Learning Applications (15 papers), Human Pose and Action Recognition (12 papers) and Domain Adaptation and Few-Shot Learning (11 papers). Songyang Zhang is often cited by papers focused on Multimodal Machine Learning Applications (15 papers), Human Pose and Action Recognition (12 papers) and Domain Adaptation and Few-Shot Learning (11 papers). Songyang Zhang collaborates with scholars based in China, United States and United Kingdom. Songyang Zhang's co-authors include Xuming He, Jun Xiao, Jiebo Luo, Xiaoming Liu, Jianlong Fu, Houwen Peng, Rongjie Li, Shipeng Yan, Bo Wan and Jian Sun and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACS Applied Materials & Interfaces and IEEE Transactions on Multimedia.

In The Last Decade

Songyang Zhang

38 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language

2020 289 citations Songyang Zhang, Houwen Peng et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Songyang Zhang China	17	1.3k	744	204	126	56	41	1.6k
Yansong Tang China	17	1.1k 0.9×	687 0.9×	259 1.3×	150 1.2×	46 0.8×	44	1.4k
Yanli Ji China	21	1.1k 0.9×	580 0.8×	226 1.1×	201 1.6×	33 0.6×	58	1.4k
Vincent Michalski Canada	7	1.1k 0.9×	653 0.9×	148 0.7×	95 0.8×	22 0.4×	11	1.5k
Fabian Caba Heilbron United States	10	1.8k 1.4×	993 1.3×	176 0.9×	78 0.6×	18 0.3×	25	2.0k
Bo Xiong United States	15	980 0.7×	412 0.6×	80 0.4×	65 0.5×	31 0.6×	23	1.3k
Pietro Morerio Italy	17	552 0.4×	280 0.4×	91 0.4×	123 1.0×	32 0.6×	62	849
Zhengyuan Yang United States	18	1.0k 0.8×	624 0.8×	81 0.4×	57 0.5×	20 0.4×	44	1.4k
Víctor Escorcia Saudi Arabia	10	1.9k 1.5×	1.1k 1.4×	205 1.0×	117 0.9×	12 0.2×	11	2.1k
Lorenzo Baraldi Italy	19	988 0.7×	443 0.6×	32 0.2×	128 1.0×	65 1.2×	70	1.4k
Abir Das United States	11	802 0.6×	426 0.6×	96 0.5×	33 0.3×	16 0.3×	22	988

Countries citing papers authored by Songyang Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Songyang Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songyang Zhang

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

20 of 20 papers shown

1.

Wang, Chonghua, et al.. (2024). Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks. 3712–3724.

2.

Zhang, Songyang, et al.. (2024). Cross Modality Bias in Visual Question Answering: A Causal View With Possible Worlds VQA. IEEE Transactions on Multimedia. 26. 8609–8624. 10 indexed citations

3.

Chen, Zehui, Wenwei Zhang, Jiangning Liu, et al.. (2024). T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step. 9510–9529. 2 indexed citations

4.

Li, Rongjie, Songyang Zhang, Dahua Lin, Kai Chen, & Xuming He. (2024). From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models. 28076–28086. 10 indexed citations

5.

Shen, Xiaoyu, Zhuo Rachel Han, Alan Guoming Huang, et al.. (2024). LawBench: Benchmarking Legal Knowledge of Large Language Models. 7933–7962. 16 indexed citations

6.

Liu, Liping, et al.. (2024). A digital speckle stereo matching algorithm based on epipolar line correction. Signal Image and Video Processing. 18(5). 4579–4588.

7.

Wang, Quan, Guanchen Ye, Qidong Chen, Songyang Zhang, & Feng‐Qing Wang. (2024). A UAV perspective based lightweight target detection and tracking algorithm for intelligent transportation. Complex & Intelligent Systems. 11(1). 4 indexed citations

8.

Li, Xincheng, et al.. (2024). Influence of Cu Content Variation on the Tribological Properties of Ni60CuMo with Sandwich-Structured Composite Coatings by Laser Cladding. Micromachines. 15(12). 1429–1429. 3 indexed citations

9.

Jin, Peng, et al.. (2023). TG-VQA: Ternary Game of Video Question Answering. 1044–1052. 6 indexed citations

10.

Zhang, Songyang, Yong Liu, Yujiu Yang, et al.. (2023). RIFormer: Keep Your Vision Backbone Effective But Removing Token Mixer. 14443–14452. 19 indexed citations

11.

Zhang, Songyang, Lifeng Jin, Haitao Mi, et al.. (2022). Learning a Grammar Inducer from Massive Uncurated Instructional Videos. 233–247.

12.

Zhang, Songyang, et al.. (2021). Mi YouTube es Su YouTube? Analyzing the Cultures using YouTube Thumbnails of Popular Videos. 2021 IEEE International Conference on Big Data (Big Data). 4999–5006. 5 indexed citations

13.

Chen, Xi, Songyang Zhang, Dandan Song, Peng Ouyang, & Shouyi Yin. (2020). Transformer with Bidirectional Decoder for Speech Recognition. 1773–1777. 9 indexed citations

14.

Zhang, Haoqi, et al.. (2020). Content-based Analysis of the Cultural Differences between TikTok and Douyin. 4779–4786. 16 indexed citations

15.

Zhang, Songyang, Houwen Peng, Jianlong Fu, & Jiebo Luo. (2020). Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 12870–12877. 289 indexed citations breakdown →

16.

Zhang, Songyang, Jinsong Su, & Jiebo Luo. (2019). Exploiting Temporal Relationships in Video Moment Localization with Natural Language. 1230–1238. 41 indexed citations

17.

Zhang, Songyang, Yang Yang, Jun Xiao, et al.. (2018). Fusing Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks. IEEE Transactions on Multimedia. 20(9). 2330–2343. 146 indexed citations

18.

Zhang, Songyang, et al.. (2017). Explorations of skeleton features for LSTM-based action recognition. Multimedia Tools and Applications. 78(1). 591–603. 15 indexed citations

19.

Chen, Xi, et al.. (2015). SparkRDF: Elastic Discreted RDF Graph Processing Engine With Distributed Memory. 292–300. 11 indexed citations

20.

Chen, Xi, et al.. (2014). SparkRDF: elastic discreted RDF graph processing engine with distributed memory. International Semantic Web Conference. 261–264. 2 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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