Beizhan Wang

943 total citations · 1 hit paper
57 papers, 601 citations indexed

About

Beizhan Wang is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Beizhan Wang has authored 57 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 18 papers in Information Systems and 17 papers in Computer Networks and Communications. Recurrent topics in Beizhan Wang's work include Recommender Systems and Techniques (6 papers), Advanced Graph Neural Networks (5 papers) and Mobile Ad Hoc Networks (5 papers). Beizhan Wang is often cited by papers focused on Recommender Systems and Techniques (6 papers), Advanced Graph Neural Networks (5 papers) and Mobile Ad Hoc Networks (5 papers). Beizhan Wang collaborates with scholars based in China, United Kingdom and United States. Beizhan Wang's co-authors include Wei Wang, Xu Wang, Qingqi Hong, Yaping Wang, Xiaohong Guan, Kunhong Liu, Fan Lin, Xiuze Zhou, Qingqiang Wu and Wenjing Zhang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Beizhan Wang

48 papers receiving 555 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.

ScribFormer: Transformer Makes CNN Work Better for Scribble-Based Medical Image Segmentation

2024 53 citations Zihan Li, Shuzhou Yang et al. IEEE Transactions on Medical Imaging profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Beizhan Wang China	14	221	202	158	139	75	57	601
Jiawei Zhang China	17	183 0.8×	372 1.8×	309 2.0×	104 0.7×	76 1.0×	53	663
Salabat Khan Pakistan	15	167 0.8×	271 1.3×	75 0.5×	138 1.0×	32 0.4×	33	603
Zhou Ming-tian China	11	309 1.4×	240 1.2×	107 0.7×	72 0.5×	117 1.6×	126	720
Ripon Patgiri India	14	275 1.2×	199 1.0×	127 0.8×	101 0.7×	23 0.3×	61	589
Yimu Ji China	16	76 0.3×	218 1.1×	110 0.7×	406 2.9×	70 0.9×	116	751
Andreas Janecek Austria	11	101 0.5×	367 1.8×	82 0.5×	154 1.1×	30 0.4×	21	795
Xuhui Chen China	16	176 0.8×	377 1.9×	221 1.4×	256 1.8×	25 0.3×	68	816
Abdulmohsen Algarni Saudi Arabia	14	121 0.5×	309 1.5×	169 1.1×	142 1.0×	12 0.2×	62	717
Shaimaa Ahmed Elsaid Egypt	13	220 1.0×	310 1.5×	46 0.3×	136 1.0×	18 0.2×	27	675
Jehad F. Al‐Amri Saudi Arabia	15	95 0.4×	157 0.8×	105 0.7×	295 2.1×	18 0.2×	46	731

Countries citing papers authored by Beizhan Wang

Since Specialization

Citations

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

Fields of papers citing papers by Beizhan Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beizhan Wang

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

Li, Zihan, Shuzhou Yang, Qingde Li, et al.. (2024). ScribFormer: Transformer Makes CNN Work Better for Scribble-Based Medical Image Segmentation. IEEE Transactions on Medical Imaging. 43(6). 2254–2265. 53 indexed citations breakdown →

2.

Lian, Sheng, et al.. (2023). Contour-aware consistency for semi-supervised medical image segmentation. Biomedical Signal Processing and Control. 89. 105694–105694. 8 indexed citations

3.

Lin, Fan, et al.. (2021). MBRep: Motif-based representation learning in heterogeneous networks. Expert Systems with Applications. 190. 116031–116031. 14 indexed citations

4.

Lin, Fan, et al.. (2020). Prerequisite Relation Learning for Course Concepts Based on Hyperbolic Deep Representation. IEEE Access. 8. 49079–49089. 2 indexed citations

5.

Hong, Qingqi, Qingde Li, Beizhan Wang, et al.. (2020). High-quality vascular modeling and modification with implicit extrusion surfaces for blood flow computations. Computer Methods and Programs in Biomedicine. 196. 105598–105598. 3 indexed citations

6.

Wang, Hongji, Gang Yao, & Beizhan Wang. (2020). A Quantum Concurrent Signature Scheme Based on the Quantum Finite Automata Signature Scheme. 125–129. 2 indexed citations

7.

Gao, Jie, Kunhong Liu, Beizhan Wang, Dong Wang, & Qingqi Hong. (2020). An improved deep forest for alleviating the data imbalance problem. Soft Computing. 25(3). 2085–2101. 11 indexed citations

8.

Zhou, Xiuze, et al.. (2019). Sparse online collaborative filtering with dynamic regularization. Information Sciences. 505. 535–548. 16 indexed citations

9.

Chen, Hanping, et al.. (2018). A Compression Algorithm of Fastq File Based on Distribution Characteristics Analysis. 1–5. 1 indexed citations

10.

Wang, Beizhan, et al.. (2017). Research on Techniques of Multifeatures Extraction for Tongue Image and Its Application in Retrieval. Computational and Mathematical Methods in Medicine. 2017. 1–11. 3 indexed citations

11.

Zhou, Xiuze, et al.. (2017). Confidence-weighted bias model for online collaborative filtering. Applied Soft Computing. 70. 1042–1053. 15 indexed citations

12.

Lin, Fan, et al.. (2017). Multiobjective Evolutionary Algorithm Based on Nondominated Sorting and Bidirectional Local Search for Big Data. IEEE Transactions on Industrial Informatics. 13(4). 1979–1988. 13 indexed citations

13.

Chen, Xu, Mario J. Pérez-Jímenez, Luis Valencia–Cabrera, Beizhan Wang, & Xiangxiang Zeng. (2015). Computing with viruses. Theoretical Computer Science. 623. 146–159. 27 indexed citations

14.

Jiang, Qingshan, et al.. (2011). Personalized recommendation using implicit interaction information. 15. 1340–1345. 1 indexed citations

15.

Wang, Beizhan, et al.. (2010). Feature selection based on Rough set and modified genetic algorithm for intrusion detection. 1441–1446. 19 indexed citations

16.

Wang, Beizhan, et al.. (2009). Application of XML in real-time data warehouse. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7490. 74901J–74901J. 1 indexed citations

17.

Jiang, Qingshan, et al.. (2009). Reduction and Dynamic Discretization of Multi-attribute Based on Rough Set. 18. 50–54. 2 indexed citations

18.

Wang, Beizhan, et al.. (2009). Research on digital museum for the intangible cultural heritage. 734–737. 1 indexed citations

19.

Cheng, Qu, et al.. (2008). Efficient focused crawling strategy using combination of link structure and content similarity. 24. 1045–1048. 12 indexed citations

20.

Wang, Beizhan. (2007). Solution of Data Exchange Platform Based on Web Service. Microprocessors.

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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