Pengjie Tang

504 total citations
20 papers, 396 citations indexed

About

Pengjie Tang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Pengjie Tang has authored 20 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Pengjie Tang's work include Advanced Image and Video Retrieval Techniques (8 papers), Multimodal Machine Learning Applications (7 papers) and Human Pose and Action Recognition (4 papers). Pengjie Tang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Multimodal Machine Learning Applications (7 papers) and Human Pose and Action Recognition (4 papers). Pengjie Tang collaborates with scholars based in China, Canada and Hong Kong. Pengjie Tang's co-authors include Hanli Wang, Sam Kwong, Qinyu Li, Fang Fang, Yimin Zhou, Guangyao Li, Renping Cao, Chunyan Cao, Hui Ao and Yihao Chen and has published in prestigious journals such as Neurocomputing, Journal of Solid State Chemistry and Electronics Letters.

In The Last Decade

Pengjie Tang

19 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pengjie Tang China	10	234	86	38	38	32	20	396
Hong Qiao China	9	172 0.7×	81 0.9×	22 0.6×	19 0.5×	22 0.7×	18	294
Zunkai Huang China	10	161 0.7×	80 0.9×	35 0.9×	113 3.0×	18 0.6×	29	372
Qinghui Zhang China	9	117 0.5×	47 0.5×	54 1.4×	64 1.7×	27 0.8×	56	365
Jang‐Sik Park South Korea	11	174 0.7×	81 0.9×	34 0.9×	34 0.9×	41 1.3×	74	442
Runmin Liu China	12	106 0.5×	97 1.1×	50 1.3×	26 0.7×	15 0.5×	20	386
Cong Yang China	13	227 1.0×	94 1.1×	16 0.4×	31 0.8×	26 0.8×	38	431
Takuya Akashi Japan	11	151 0.6×	52 0.6×	28 0.7×	32 0.8×	77 2.4×	92	442
Zhiwen Shao China	13	354 1.5×	103 1.2×	40 1.1×	32 0.8×	15 0.5×	55	528
Masato Kawade Japan	8	367 1.6×	98 1.1×	32 0.8×	18 0.5×	18 0.6×	21	461

Countries citing papers authored by Pengjie Tang

Since Specialization

Citations

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

Fields of papers citing papers by Pengjie Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengjie Tang

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

All Works

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20 of 20 papers shown

Wang, Hanli, et al.. (2024). Emotion recognition in user‐generated videos with long‐range correlation‐aware network. IET Image Processing. 18(12). 3288–3301. 1 indexed citations

Wang, Hanli, et al.. (2022). Unified multi‐stage fusion network for affective video content analysis. Electronics Letters. 58(21). 795–797. 3 indexed citations

Tang, Pengjie, et al.. (2022). Reversible Circuit Synthesis Method Using Sub-graphs of Shared Functional Decision Diagrams. The Computer Journal. 66(10). 2574–2592.

Jiang, Yong, et al.. (2022). Mechanical Properties of σ-Phase and Its Effect on the Mechanical Properties of Austenitic Stainless Steel. Coatings. 12(12). 1917–1917. 9 indexed citations

Wang, Hanli, et al.. (2022). Unified Multi-Stage Fusion Network for Affective Video Content Analysis. SSRN Electronic Journal. 1 indexed citations

Yan, Junjie, et al.. (2022). Synthesis of Reversible Circuits with Reduced Nearest-Neighbor Cost Using Kronecker Functional Decision Diagrams. Journal of Electronic Testing. 38(1). 39–62. 1 indexed citations

Xu, Yujie, et al.. (2022). Mechanical Properties of Σ-Phase and its Effect on the Mechanical Properties of Austenitic Stainless Steel. SSRN Electronic Journal. 2 indexed citations

Wang, Hanli, et al.. (2020). CaptionNet: A Tailor-made Recurrent Neural Network for Generating Image Descriptions. IEEE Transactions on Multimedia. 23. 835–845. 40 indexed citations

Fang, Fang, Hanli Wang, Yihao Chen, & Pengjie Tang. (2018). Looking deeper and transferring attention for image captioning. Multimedia Tools and Applications. 77(23). 31159–31175. 13 indexed citations

10.

Fang, Fang, Qinyu Li, Hanli Wang, & Pengjie Tang. (2018). Refining Attention: A Sequential Attention Model for Image Captioning. 39. 1–6. 4 indexed citations

11.

Tang, Pengjie, Hanli Wang, & Sam Kwong. (2018). Deep sequential fusion LSTM network for image description. Neurocomputing. 312. 154–164. 26 indexed citations

12.

Fang, Fang, Hanli Wang, & Pengjie Tang. (2018). Image Captioning with Word Level Attention. 1278–1282. 13 indexed citations

13.

Tang, Pengjie & Hanli Wang. (2017). Richer feature for image classification with super and sub kernels based on deep convolutional neural network. Computers & Electrical Engineering. 62. 499–510. 5 indexed citations

14.

Tang, Pengjie, et al.. (2017). Richer Semantic Visual and Language Representation for Video Captioning. 1871–1876. 4 indexed citations

15.

Wang, Hanli, et al.. (2017). Image captioning with deep LSTM based on sequential residual. 361–366. 17 indexed citations

16.

Tang, Pengjie, Hanli Wang, & Sam Kwong. (2016). G-MS2F: GoogLeNet based multi-stage feature fusion of deep CNN for scene recognition. Neurocomputing. 225. 188–197. 193 indexed citations

17.

Tang, Pengjie, et al.. (2016). Photograph aesthetical evaluation and classification with deep convolutional neural networks. Neurocomputing. 228. 165–175. 34 indexed citations

18.

Cao, Renping, Pan Liu, Chunyan Cao, et al.. (2015). Tunable photoluminescence properties of Sr_1‐yCa_yMoO₄:Sm³⁺ phosphors (0 ≤ y < 1). Luminescence. 30(7). 962–966. 12 indexed citations

19.

Cao, Renping, Chunyan Cao, Xiaoguang Yu, et al.. (2014). Visible to near-infrared luminescence properties of Nd3+-doped La2BaZnO5 phosphor. Journal of Solid State Chemistry. 215. 22–25. 16 indexed citations

20.

Tang, Pengjie. (2010). Word Operation Automatic Marking System based on VBA. Computer Knowledge and Technology. 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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