Shangbang Long

1.6k total citations
8 papers, 312 citations indexed

About

Shangbang Long is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Shangbang Long has authored 8 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Shangbang Long's work include Handwritten Text Recognition Techniques (7 papers), Image Processing and 3D Reconstruction (6 papers) and Image Retrieval and Classification Techniques (4 papers). Shangbang Long is often cited by papers focused on Handwritten Text Recognition Techniques (7 papers), Image Processing and 3D Reconstruction (6 papers) and Image Retrieval and Classification Techniques (4 papers). Shangbang Long collaborates with scholars based in United States and China. Shangbang Long's co-authors include Cong Yao, Xin He, Alessandro Bissacco, Yasuhisa Fujii, Siyang Qin, Minghui Liao, Xiang Bai, Minghang He, Kaigui Bian and Yushuo Guan and has published in prestigious journals such as International Journal of Computer Vision, Science China Information Sciences and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Shangbang Long

8 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shangbang Long United States	4	267	112	70	17	13	8	312
Jeonghun Baek Japan	4	311 1.2×	90 0.8×	113 1.6×	13 0.8×	13 1.0×	11	369
Sungrae Park South Korea	2	265 1.0×	77 0.7×	92 1.3×	12 0.7×	9 0.7×	3	306
Geewook Kim Japan	4	262 1.0×	78 0.7×	103 1.5×	12 0.7×	9 0.7×	10	318
Zenghui Sun China	5	383 1.4×	172 1.5×	108 1.5×	8 0.5×	17 1.3×	7	425
V. Vijaya Kumar India	10	281 1.1×	87 0.8×	26 0.4×	9 0.5×	19 1.5×	60	323
Shuaitao Zhang China	7	352 1.3×	143 1.3×	86 1.2×	15 0.9×	13 1.0×	10	392
Shangxuan Tian Singapore	10	607 2.3×	195 1.7×	126 1.8×	10 0.6×	15 1.2×	14	646
Shi-Xue Zhang China	8	300 1.1×	145 1.3×	67 1.0×	12 0.7×	12 0.9×	9	332
Yifeng Pan China	7	444 1.7×	198 1.8×	47 0.7×	16 0.9×	7 0.5×	18	479
Carl Case United States	4	236 0.9×	90 0.8×	50 0.7×	14 0.8×	13 1.0×	8	290

Countries citing papers authored by Shangbang Long

Since Specialization

Citations

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

Fields of papers citing papers by Shangbang Long

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangbang Long

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

8 of 8 papers shown

1.

Long, Shangbang, et al.. (2024). Hierarchical Text Spotter for Joint Text Spotting and Layout Analysis. 892–902. 3 indexed citations

2.

Li, Chunliang, Hao Zhang, Timothy Dozat, et al.. (2023). FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction. 9011–9026. 3 indexed citations

3.

Long, Shangbang, et al.. (2022). Towards End-to-End Unified Scene Text Detection and Layout Analysis. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 1039–1049. 39 indexed citations

4.

Long, Shangbang & Cong Yao. (2020). UnrealText: Synthesizing Realistic Scene Text Images From the Unreal World. arXiv (Cornell University). 5488–5497. 1 indexed citations

5.

Liao, Minghui, et al.. (2020). SynthText3D: synthesizing scene text images from 3D virtual worlds. Science China Information Sciences. 63(2). 24 indexed citations

6.

Long, Shangbang, Yushuo Guan, Kaigui Bian, & Cong Yao. (2020). A New Perspective for Flexible Feature Gathering in Scene Text Recognition Via Character Anchor Pooling. 31. 2458–2462. 9 indexed citations

7.

Long, Shangbang, Xin He, & Cong Yao. (2020). Scene Text Detection and Recognition: The Deep Learning Era. International Journal of Computer Vision. 129(1). 161–184. 232 indexed citations

8.

Long, Shangbang, et al.. (2019). Alchemy: Techniques for Rectification Based Irregular Scene Text Recognition. arXiv (Cornell University). 1 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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