Dejiao Zhang

821 total citations
21 papers, 425 citations indexed

About

Dejiao Zhang is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dejiao Zhang has authored 21 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 5 papers in Computational Mechanics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dejiao Zhang's work include Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers) and Sparse and Compressive Sensing Techniques (5 papers). Dejiao Zhang is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers) and Sparse and Compressive Sensing Techniques (5 papers). Dejiao Zhang collaborates with scholars based in United States, Portugal and China. Dejiao Zhang's co-authors include Henghui Zhu, Ramesh Nallapati, Bing Xiang, Laura Balzano, Kathleen McKeown, Andrew O. Arnold, Shang-Wen Li, Cícero Nogueira dos Santos, Xiaokai Wei and Nan Feng and has published in prestigious journals such as Image and Vision Computing, Empirical Methods in Natural Language Processing and Deep Blue (University of Michigan).

In The Last Decade

Dejiao Zhang

19 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dejiao Zhang United States	10	313	134	48	34	18	21	425
Amit Gruber Israel	6	179 0.6×	178 1.3×	65 1.4×	26 0.8×	33 1.8×	6	347
Jinyu Cai China	7	204 0.7×	160 1.2×	8 0.2×	17 0.5×	26 1.4×	21	315
Paulo Pagliosa Brazil	10	61 0.2×	101 0.8×	60 1.3×	23 0.7×	24 1.3×	31	246
Xiaochen Lian China	8	111 0.4×	196 1.5×	20 0.4×	39 1.1×	49 2.7×	13	331
Paul Swoboda Germany	10	83 0.3×	127 0.9×	28 0.6×	23 0.7×	15 0.8×	22	248
Zhiping Lin China	3	320 1.0×	284 2.1×	30 0.6×	44 1.3×	18 1.0×	4	465
Jie Wen China	9	245 0.8×	293 2.2×	24 0.5×	20 0.6×	32 1.8×	17	410
Kristian Kersting Germany	10	205 0.7×	31 0.2×	5 0.1×	41 1.2×	17 0.9×	26	298
Mehrdad Khani Finland	5	129 0.4×	92 0.7×	12 0.3×	17 0.5×	49 2.7×	6	340
Jiechao Xiong China	9	87 0.3×	91 0.7×	52 1.1×	9 0.3×	6 0.3×	17	212

Countries citing papers authored by Dejiao Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Dejiao Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dejiao Zhang

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

Jain, Siddhartha, et al.. (2024). Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies. 19916–19939.

Yadav, Prateek, Qing Sun, Xiaopeng Li, et al.. (2023). Exploring Continual Learning for Code Generation Models. 782–792. 7 indexed citations

Zhang, Dejiao, Yang Li, Ming Tan, et al.. (2023). Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation. 11067–11083. 3 indexed citations

Zhang, Dejiao, Xiao Wei, Henghui Zhu, Xiaofei Ma, & Andrew Arnold. (2022). Virtual Augmentation Supported Contrastive Learning of Sentence Representations. Findings of the Association for Computational Linguistics: ACL 2022. 864–876. 13 indexed citations

Zhang, Dejiao, et al.. (2022). Learning Dialogue Representations from Consecutive Utterances. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 754–768. 5 indexed citations

Zhang, Dejiao, Nan Feng, Xiaokai Wei, et al.. (2021). Supporting Clustering with Contrastive Learning. 5419–5430. 118 indexed citations

Feng, Nan, Ramesh Nallapati, Zhiguo Wang, et al.. (2021). Entity-level Factual Consistency of Abstractive Text Summarization. 2727–2733. 68 indexed citations

Feng, Nan, Cícero Nogueira dos Santos, Henghui Zhu, et al.. (2021). Improving Factual Consistency of Abstractive Summarization via Question Answering. 6881–6894. 46 indexed citations

Zhang, Dejiao, Shang-Wen Li, Xiao Wei, et al.. (2021). Pairwise Supervised Contrastive Learning of Sentence Representations. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 5786–5798. 31 indexed citations

10.

Gao, Yifan, Henghui Zhu, Patrick Ng, et al.. (2021). Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. 3263–3276. 9 indexed citations

11.

Zhang, Dejiao, Ramesh Nallapati, Henghui Zhu, et al.. (2020). Margin-aware Unsupervised Domain Adaptation for Cross-lingual Text Labeling. 3527–3536. 5 indexed citations

12.

Zhang, Dejiao, Ramesh Nallapati, Henghui Zhu, et al.. (2020). Unsupervised Domain Adaptation for Cross-lingual Text Labeling.. Empirical Methods in Natural Language Processing. 3527–3536. 4 indexed citations

13.

Zhang, Dejiao. (2019). Extracting Compact Knowledge From Massive Data. Deep Blue (University of Michigan).

14.

Zhang, Dejiao, et al.. (2018). Simultaneous Sparsity and Parameter Tying for Deep Learning Using Ordered Weighted ℓ₁ Regularization. 65–69. 2 indexed citations

15.

Zhang, Dejiao, Haozhu Wang, Mário A. T. Figueiredo, & Laura Balzano. (2018). LEARNING TO SHARE: SIMULTANEOUS PARAMETER TYING AND SPARSIFICATION IN DEEP LEARNING. International Conference on Learning Representations. 18 indexed citations

16.

Zhang, Dejiao & Laura Balzano. (2017). Matched subspace detection using compressively sampled data. 4601–4605. 1 indexed citations

17.

Ongie, Greg, David Hong, Dejiao Zhang, & Laura Balzano. (2017). Enhanced online subspace estimation via adaptive sensing. 16. 993–997. 2 indexed citations

18.

Zhang, Dejiao & Laura Balzano. (2016). Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation. International Conference on Artificial Intelligence and Statistics. 1460–1468. 20 indexed citations

19.

He, Jun, Dejiao Zhang, Laura Balzano, & Tao Tao. (2014). Iterative Grassmannian optimization for robust image alignment. Image and Vision Computing. 32(10). 800–813. 42 indexed citations

20.

He, Jun, Dejiao Zhang, Laura Balzano, & Tao Tao. (2013). Iterative online subspace learning for robust image alignment. 1–8. 13 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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