Yajing Xu

671 total citations · 1 hit paper
38 papers, 423 citations indexed

About

Yajing Xu is a scholar working on Artificial Intelligence, Molecular Biology and General Health Professions. According to data from OpenAlex, Yajing Xu has authored 38 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Molecular Biology and 5 papers in General Health Professions. Recurrent topics in Yajing Xu's work include Topic Modeling (8 papers), Global Health Care Issues (5 papers) and Advanced Graph Neural Networks (5 papers). Yajing Xu is often cited by papers focused on Topic Modeling (8 papers), Global Health Care Issues (5 papers) and Advanced Graph Neural Networks (5 papers). Yajing Xu collaborates with scholars based in China, Hong Kong and Australia. Yajing Xu's co-authors include Hao Chen, Jonathan Ziveyi, Michael Sherris, Peng Wang, Peng Ji, Chuanbin Mao, Tao Yang, Huajun Chen, Mingying Yang and Zhuo Chen and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Yajing Xu

33 papers receiving 417 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.

Potential of Copper and Copper Compounds for Anticancer Applications

2023 98 citations Hao Chen, Yajing Xu et al. profile →

Peers

Yajing Xu

MB

AI

ONCOL

BE

GHP

Junping Zhao China

Chris Rhodes United States

Hai Liao China

Tuan Anh Pham United States

Sungin Lee South Korea

Yuchen Cao China

Bo Meng China

Manuel Molina Spain

Z. Fritz United States

Lijun Wu China

Junping Zhao China

Yajing Xu

54 ×0.5

MB

27 ×0.4

AI

29 ×0.4

ONCOL

27 ×0.5

BE

28 ×0.7

GHP

Citations per year, relative to Yajing Xu Yajing Xu (= 1×) peers Junping Zhao

Countries citing papers authored by Yajing Xu

Since Specialization

Citations

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

Fields of papers citing papers by Yajing Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yajing Xu

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

Xu, Yajing, et al.. (2025). Microstructure and the anti-cavitation behavior of laser cladded cobalt-based coating in sand-water mixtures with different sand grain size. Materials Today Communications. 45. 112395–112395.

2.

Zhang, Hao, et al.. (2025). Machine learning–based multimodal radiomics and transcriptomics models for predicting radiotherapy sensitivity and prognosis in esophageal cancer. Journal of Biological Chemistry. 301(7). 110242–110242.

3.

Xu, Yajing, et al.. (2025). A Real‐World Pharmacovigilance Study of Fruquintinib Based on the FDA Adverse Event Reporting System ( FAERS ) Database. Cancer Medicine. 14(21). e71352–e71352.

4.

Zhang, Yichi, Zhuo Chen, Lingbing Guo, et al.. (2025). Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation. Proceedings of the AAAI Conference on Artificial Intelligence. 39(12). 13322–13330. 1 indexed citations

5.

Chen, Zhuo, Lingbing Guo, Yajing Xu, et al.. (2024). NativE: Multi-modal Knowledge Graph Completion in the Wild. 91–101. 10 indexed citations

6.

Chen, Zhuo, et al.. (2024). Making Large Language Models Perform Better in Knowledge Graph Completion. 233–242. 25 indexed citations

7.

Xu, Yajing, et al.. (2024). Start From Zero: Triple Set Prediction for Automatic Knowledge Graph Completion. IEEE Transactions on Knowledge and Data Engineering. 1–14. 2 indexed citations

8.

Li, Yan, Jiaqi Bao, Yajing Xu, et al.. (2024). Injectable hydrogels activated with copper sulfide nanoparticles for enhancing spatiotemporal sterilization and osteogenesis in periodontal therapy. Biomaterials Science. 13(6). 1434–1448. 13 indexed citations

9.

Yang, Tao, et al.. (2024). Tumor‐Homing Phage Nanofibers for Nanozyme‐Enhanced Targeted Breast Cancer Therapy. Advanced Materials. 37(2). e2403756–e2403756. 18 indexed citations

10.

Yuan, Yuan, Yajing Xu, & Wen Zhang. (2024). Is Large Language Model Good at Triple Set Prediction? An Empirical Study. 470–476.

11.

Xu, Bing, et al.. (2024). Microstructure and Wear Properties of a Novel Mixed Stellite Coating Deposited on H13 Steel Using Laser Cladding Technology. Transactions of the Indian Institute of Metals. 77(11). 3859–3867. 3 indexed citations

12.

Mei, Heng, Hu Zhou, Ming Hou, et al.. (2023). Avatrombopag for adult chronic primary immune thrombocytopenia: a randomized phase 3 trial in China. Research and Practice in Thrombosis and Haemostasis. 7(6). 102158–102158. 9 indexed citations

13.

Ji, Peng, et al.. (2023). Ferroptosis-based drug delivery system as a new therapeutic opportunity for brain tumors. Frontiers in Oncology. 13. 1084289–1084289. 14 indexed citations

14.

Chen, Lihua, Gongbin Lan, Honghui Yang, et al.. (2023). The application of metagenomic next-generation sequencing in patients with infection or colonization caused by Lichtheimia species. Frontiers in Cellular and Infection Microbiology. 13. 1103626–1103626. 2 indexed citations

15.

Xu, Yajing, et al.. (2023). Learning to Rank Utterances for Query-Focused Meeting Summarization. 8496–8505. 1 indexed citations

16.

Yang, Tao, et al.. (2023). Viruses as biomaterials. Materials Science and Engineering R Reports. 153. 100715–100715. 10 indexed citations

17.

Zhang, Dong, Jianglong Kong, Xueying Huang, et al.. (2023). Targeted glioblastoma therapy by integrating brain-targeting peptides and corn-derived cancer cell-penetrating proteins into nanoparticles to cross blood-brain tumor barriers. Materials Today Nano. 23. 100347–100347. 14 indexed citations

18.

Wang, Shusen, Bosen Zhang, Yajing Xu, Yanan Wu, & Bo Xiao. (2022). RCL: Relation Contrastive Learning for Zero-Shot Relation Extraction. 2456–2468. 10 indexed citations

19.

Xu, Yajing, Michael Sherris, & Jonathan Ziveyi. (2019). Market Price of Longevity Risk for a Multi‐Cohort Mortality Model With Application to Longevity Bond Option Pricing. Journal of Risk & Insurance. 87(3). 571–595. 11 indexed citations

20.

Zhao, Di, Yajing Xu, Yantao Yin, et al.. (2019). Peptidomic Investigation of the Interplay between Enzymatic Tenderization and the Digestibility of Beef Semimembranosus Proteins. Journal of Agricultural and Food Chemistry. 68(4). 1136–1146. 47 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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