Saiji Fu

474 total citations
27 papers, 287 citations indexed

About

Saiji Fu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Saiji Fu has authored 27 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Saiji Fu's work include Face and Expression Recognition (11 papers), Imbalanced Data Classification Techniques (8 papers) and Machine Learning and ELM (7 papers). Saiji Fu is often cited by papers focused on Face and Expression Recognition (11 papers), Imbalanced Data Classification Techniques (8 papers) and Machine Learning and ELM (7 papers). Saiji Fu collaborates with scholars based in China and United Kingdom. Saiji Fu's co-authors include Yingjie Tian, Jingjing Tang, Xiaotong Yu, Long Tang, Xiaohui Liu, Kun Zhao, Xiaoxiao Wang, Shulin Lan, Gang Kou and Yan Li and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and IEEE Access.

In The Last Decade

Saiji Fu

24 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Saiji Fu China	12	179	107	41	26	24	27	287
Jingjing Tang China	14	261 1.5×	222 2.1×	37 0.9×	47 1.8×	21 0.9×	42	454
Jingjun Bi China	7	277 1.5×	82 0.8×	71 1.7×	22 0.8×	18 0.8×	12	365
Ming Tie China	10	83 0.5×	204 1.9×	14 0.3×	31 1.2×	12 0.5×	29	363
Naresh Manwani India	7	213 1.2×	65 0.6×	18 0.4×	14 0.5×	26 1.1×	14	270
Santos Kumar Baliarsingh India	9	178 1.0×	63 0.6×	22 0.5×	20 0.8×	15 0.6×	26	303
Chao Yu China	10	173 1.0×	34 0.3×	24 0.6×	57 2.2×	32 1.3×	25	325
Xiaohua Wang China	8	184 1.0×	117 1.1×	49 1.2×	28 1.1×	54 2.3×	37	370
Jayashree Piri India	9	171 1.0×	51 0.5×	18 0.4×	14 0.5×	14 0.6×	21	321
Jiantao Zhou China	7	113 0.6×	87 0.8×	12 0.3×	13 0.5×	16 0.7×	24	278

Countries citing papers authored by Saiji Fu

Since Specialization

Citations

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

Fields of papers citing papers by Saiji Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saiji Fu

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

Tian, Yingjie, et al.. (2024). Multi-step ahead prediction of carbon price movement using time-series privileged information. Expert Systems with Applications. 255. 124825–124825. 5 indexed citations

Tang, Jingjing, et al.. (2024). MVQS: Robust multi-view instance-level cost-sensitive learning method for imbalanced data classification. Information Sciences. 675. 120467–120467. 10 indexed citations

Tang, Jingjing, et al.. (2024). Advancing robust regression: Addressing asymmetric noise with the BLINEX loss function. Information Fusion. 110. 102463–102463. 3 indexed citations

Fu, Saiji, et al.. (2024). Self-improved multi-view interactive knowledge transfer. Information Fusion. 114. 102718–102718.

Tang, Jingjing, et al.. (2024). Robust two-stage instance-level cost-sensitive learning method for class imbalance problem. Knowledge-Based Systems. 300. 112143–112143. 4 indexed citations

Liu, Dalian, et al.. (2024). Universum driven cost-sensitive learning method with asymmetric loss function. Engineering Applications of Artificial Intelligence. 131. 107849–107849. 1 indexed citations

Fu, Saiji, et al.. (2024). Weakly privileged learning with knowledge extraction. Pattern Recognition. 153. 110517–110517. 2 indexed citations

Tang, Jingjing, et al.. (2024). Incomplete multi-view learning: Review, analysis, and prospects. Applied Soft Computing. 153. 111278–111278. 19 indexed citations

Fu, Saiji, et al.. (2023). Coarse-grained privileged learning for classification. Information Processing & Management. 60(6). 103506–103506. 2 indexed citations

10.

Fu, Saiji, Yingjie Tian, Jingjing Tang, & Xiaohui Liu. (2023). Cost-sensitive learning with modified Stein loss function. Neurocomputing. 525. 57–75. 21 indexed citations

11.

Fu, Saiji, Xiaoxiao Wang, Jingjing Tang, Shulin Lan, & Yingjie Tian. (2023). Generalized robust loss functions for machine learning. Neural Networks. 171. 200–214. 13 indexed citations

12.

Tian, Yingjie, Xiaotong Yu, & Saiji Fu. (2023). Partial label learning: Taxonomy, analysis and outlook. Neural Networks. 161. 708–734. 24 indexed citations

13.

Tang, Jingjing, et al.. (2023). Multi-view cost-sensitive kernel learning for imbalanced classification problem. Neurocomputing. 552. 126562–126562. 19 indexed citations

14.

Tian, Yingjie, Minghao Liu, Yu Sun, & Saiji Fu. (2023). When liver disease diagnosis encounters deep learning: Analysis, challenges, and prospects. PubMed. 2(1). 73–87. 8 indexed citations

15.

Fu, Saiji, Yingjie Tian, & Long Tang. (2023). Robust regression under the general framework of bounded loss functions. European Journal of Operational Research. 310(3). 1325–1339. 18 indexed citations

16.

Fu, Saiji, et al.. (2023). Linear-exponential loss incorporated deep learning for imbalanced classification. ISA Transactions. 140. 279–292. 12 indexed citations

17.

Tian, Yingjie, et al.. (2022). Kernel methods with asymmetric and robust loss function. Expert Systems with Applications. 213. 119236–119236. 11 indexed citations

18.

Tian, Yingjie, et al.. (2022). Data Boundary and Data Pricing Based on the Shapley Value. IEEE Access. 10. 14288–14300. 11 indexed citations

19.

Fu, Saiji, et al.. (2022). Fine-grained attribute-aware analysis for person re-identification. Procedia Computer Science. 199. 276–283.

20.

Chen, Ming, Yuqi Zhang, Saiji Fu, & Yingjie Tian. (2021). Analysis of investment effect in Xinjiang from the perspective of nontraditional security. Personal and Ubiquitous Computing. 27(4). 1573–1583.

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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