Haojin Yang

2.3k total citations
54 papers, 1.0k citations indexed

About

Haojin Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Haojin Yang has authored 54 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 6 papers in Sociology and Political Science. Recurrent topics in Haojin Yang's work include Video Analysis and Summarization (16 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Image Retrieval and Classification Techniques (11 papers). Haojin Yang is often cited by papers focused on Video Analysis and Summarization (16 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Image Retrieval and Classification Techniques (11 papers). Haojin Yang collaborates with scholars based in Germany, China and United States. Haojin Yang's co-authors include Christoph Meinel, Cheng Wang, Christian Bartz, Mina Rezaei, Harald Sack, Jianxiong Gao, Patrick Lühne, Christoph Meinel, Martin Fritzsche and Qin Cheng and has published in prestigious journals such as Engineering Fracture Mechanics, International Journal of Fatigue and Measurement Science and Technology.

In The Last Decade

Haojin Yang

51 papers receiving 922 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haojin Yang Germany	17	676	362	80	72	55	54	1.0k
Adrian Popescu France	17	504 0.7×	512 1.4×	148 1.9×	77 1.1×	66 1.2×	114	1.2k
Yanming Zhu Australia	12	178 0.3×	390 1.1×	135 1.7×	48 0.7×	72 1.3×	23	734
Sen Liu China	13	223 0.3×	265 0.7×	44 0.6×	34 0.5×	27 0.5×	42	593
Yimin Chen China	17	378 0.6×	301 0.8×	172 2.1×	97 1.3×	92 1.7×	60	904
Jamal Riffi Morocco	16	325 0.5×	216 0.6×	34 0.4×	67 0.9×	25 0.5×	76	735
Michihiko Minoh Japan	13	473 0.7×	130 0.4×	36 0.5×	44 0.6×	28 0.5×	142	794
Dar-Shyang Lee United States	11	856 1.3×	222 0.6×	89 1.1×	44 0.6×	64 1.2×	22	1.0k
Md. Saiful Islam Bangladesh	15	212 0.3×	449 1.2×	77 1.0×	42 0.6×	22 0.4×	70	722
Tamara Al Shloul United Arab Emirates	19	253 0.4×	207 0.6×	45 0.6×	12 0.2×	134 2.4×	36	851
Misha Denil United Kingdom	8	329 0.5×	460 1.3×	30 0.4×	20 0.3×	35 0.6×	13	731

Countries citing papers authored by Haojin Yang

Since Specialization

Citations

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

Fields of papers citing papers by Haojin Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haojin Yang

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

Gao, Jianxiong & Haojin Yang. (2024). An artificial neural network method for probabilistic life prediction of corroded reinforced concrete. International Journal of Fatigue. 186. 108418–108418. 9 indexed citations

Yang, Haojin, et al.. (2024). A Deep Neural Network Method for LCF Life Prediction of Metal Materials with Small Sample Experimental Data. Metals and Materials International. 30(6). 1667–1686. 6 indexed citations

Gao, Jianxiong, et al.. (2024). A new approach to multiaxial fatigue life prediction: A multi-dimensional multi-scale composite neural network with multi-depth. Engineering Fracture Mechanics. 310. 110501–110501. 3 indexed citations

Wang, Weixing, et al.. (2024). Feature Distribution Shift Mitigation with Contrastive Pretraining for Intrusion Detection. 177–182. 1 indexed citations

Guo, Hao‐Bo, et al.. (2024). Low-bit CUTLASS GEMM Template Auto-tuning using Neural Network. 394–401.

Hu, Ting, Christoph Meinel, & Haojin Yang. (2024). A flexible BERT model enabling width- and depth-dynamic inference. Computer Speech & Language. 87. 101646–101646.

Li, Ziyun, et al.. (2024). Otem-IGCD: An Optimal Transport-based EM Framework for Imbalanced Generalized Category Discovery. 1–9.

Yang, Haojin, et al.. (2023). A machine learning method for HTLCF life prediction of titanium aluminum alloys with consideration of manufacturing processes. Engineering Fracture Mechanics. 286. 109331–109331. 8 indexed citations

Hu, Ting, et al.. (2020). Best Student Forcing: A Simple Training Mechanism in Adversarial Language Generation.. Language Resources and Evaluation. 4680–4688. 2 indexed citations

10.

Rezaei, Mina, Haojin Yang, & Christoph Meinel. (2019). Recurrent generative adversarial network for learning imbalanced medical image semantic segmentation. Multimedia Tools and Applications. 79(21-22). 15329–15348. 43 indexed citations

11.

Rezaei, Mina, Haojin Yang, & Christoph Meinel. (2019). Learning imbalanced semantic segmentation through cross-domain relations of multi-agent generative adversarial networks. 79–79. 3 indexed citations

12.

Rezaei, Mina, Haojin Yang, & Christoph Meinel. (2018). Instance Tumor Segmentation using Multitask Convolutional Neural Network. 1–8. 16 indexed citations

13.

Wang, Cheng, et al.. (2016). Punctuation prediction for unsegmented transcript based on word vector. Language Resources and Evaluation. 654–658. 48 indexed citations

14.

Yang, Haojin, et al.. (2016). Sentence-Level Automatic Lecture Highlighting Based on Acoustic Analysis. 99. 328–334. 4 indexed citations

15.

Wang, Cheng, Haojin Yang, & Christoph Meinel. (2015). Deep Semantic Mapping for Cross-Modal Retrieval. 234–241. 41 indexed citations

16.

Yang, Haojin, et al.. (2012). Text detection in video images using adaptive edge detection and Stroke Width verification. International Conference on Systems, Signals and Image Processing. 9–12. 4 indexed citations

17.

Hentschel, Christian, et al.. (2012). Open Up Cultural Heritage in Video Archives with Mediaglobe. 190–201. 3 indexed citations

18.

Yang, Haojin, et al.. (2012). AUTOMATED EXTRACTION OF LECTURE OUTLINES FROM LECTURE VIDEOS - A Hybrid Solution for Lecture Video Indexing. 13–22. 4 indexed citations

19.

Yang, Haojin, et al.. (2011). Lecture Video Indexing and Analysis Using Video OCR Technology. 54–61. 31 indexed citations

20.

Yang, Haojin, et al.. (2011). Automatic Lecture Video Indexing Using Video OCR Technology. 111–116. 27 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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