Xiangmeng Wang

670 total citations
33 papers, 419 citations indexed

About

Xiangmeng Wang is a scholar working on Artificial Intelligence, Hematology and Molecular Biology. According to data from OpenAlex, Xiangmeng Wang has authored 33 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 10 papers in Hematology and 9 papers in Molecular Biology. Recurrent topics in Xiangmeng Wang's work include Recommender Systems and Techniques (9 papers), Acute Myeloid Leukemia Research (8 papers) and Advanced Graph Neural Networks (6 papers). Xiangmeng Wang is often cited by papers focused on Recommender Systems and Techniques (9 papers), Acute Myeloid Leukemia Research (8 papers) and Advanced Graph Neural Networks (6 papers). Xiangmeng Wang collaborates with scholars based in China, Australia and Hong Kong. Xiangmeng Wang's co-authors include Guandong Xu, Qian Li, Po Yee Mak, Bing Z. Carter, Michael Andreeff, Duncan H. Mak, Hong Mu, Wenjing Tao, Vivian Ruvolo and Bing Xu and has published in prestigious journals such as Blood, Cancer Research and Information Sciences.

In The Last Decade

Xiangmeng Wang

32 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangmeng Wang China 12 149 110 103 98 46 33 419
Yi Han China 13 204 1.4× 168 1.5× 64 0.6× 69 0.7× 24 0.5× 41 578
Keita Tsuji Japan 15 168 1.1× 90 0.8× 44 0.4× 88 0.9× 70 1.5× 82 719
Mijung Kim South Korea 13 104 0.7× 74 0.7× 81 0.8× 119 1.2× 76 1.7× 50 556
Artus Krohn-Grimberghe Germany 7 48 0.3× 200 1.8× 67 0.7× 221 2.3× 53 1.2× 19 494
Ying Dong China 15 324 2.2× 70 0.6× 73 0.7× 73 0.7× 133 2.9× 66 832
Cheryl L. Brown United States 10 85 0.6× 48 0.4× 80 0.8× 20 0.2× 15 0.3× 14 377
George A. Komatsoulis United States 12 355 2.4× 85 0.8× 23 0.2× 19 0.2× 76 1.7× 28 622
Olga Nikolova United States 9 247 1.7× 37 0.3× 171 1.7× 11 0.1× 54 1.2× 18 390
義行 高橋 United States 11 114 0.8× 25 0.2× 50 0.5× 55 0.6× 67 1.5× 35 476
Naga Rajiv Lakkaniga United States 15 234 1.6× 39 0.4× 38 0.4× 47 0.5× 106 2.3× 27 586

Countries citing papers authored by Xiangmeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiangmeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangmeng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangmeng Wang. A scholar is included among the top collaborators of Xiangmeng 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 Xiangmeng Wang. Xiangmeng Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Xiangmeng, et al.. (2025). DynaProtect: A Dynamic Factor Influence Learning Framework for Protective Factor-aware Suicide Risk Prediction. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 1785–1791.
2.
Wang, Xiangmeng, et al.. (2025). A Causal-Based Attribute Selection Strategy for Conversational Recommender Systems. IEEE Transactions on Knowledge and Data Engineering. 37(5). 2169–2182. 1 indexed citations
3.
Wang, Xiangmeng, et al.. (2024). Reinforced Path Reasoning for Counterfactual Explainable Recommendation. IEEE Transactions on Knowledge and Data Engineering. 36(7). 3443–3459. 8 indexed citations
4.
Wang, Xiangmeng, et al.. (2024). Counterfactual Explanation for Fairness in Recommendation. ACM Transactions on Information Systems. 42(4). 1–30. 10 indexed citations
5.
Wang, Xiangmeng, et al.. (2024). Neural Causal Graph collaborative filtering. Information Sciences. 677. 120872–120872. 8 indexed citations
6.
Li, Huan, Yan Liu, Xiangmeng Wang, et al.. (2024). miR-128-3p is involved in aluminum-induced cognitive impairment by regulating the Sirt1-Keap1/Nrf2 pathway. Ecotoxicology and Environmental Safety. 271. 115966–115966. 4 indexed citations
7.
Feng, Xiao‐Lin, et al.. (2024). Inquiry in uncertainty-nursing students' learning experience in challenge-based learning: A qualitative study. Nurse Education Today. 135. 106093–106093. 1 indexed citations
8.
Li, Qian, et al.. (2023). Counterfactual Explainable Conversational Recommendation. IEEE Transactions on Knowledge and Data Engineering. 36(6). 2388–2400. 9 indexed citations
9.
Wang, Xiangmeng, et al.. (2023). Constrained Off-policy Learning over Heterogeneous Information for Fairness-aware Recommendation. 2(4). 1–27. 3 indexed citations
10.
Li, Qian, et al.. (2023). Deconfounded recommendation via causal intervention. Neurocomputing. 529. 128–139. 15 indexed citations
11.
Tao, Haihong, et al.. (2023). A Fast Non-Searching Method for Maneuvering Weak Target Detection Using Ubiquitous Radar. 512–516. 1 indexed citations
12.
Carter, Bing Z., Po Yee Mak, Wenjing Tao, et al.. (2022). Maximal Activation of Apoptosis Signaling by Cotargeting Antiapoptotic Proteins in BH3 Mimetic–Resistant AML and AML Stem Cells. Molecular Cancer Therapeutics. 21(6). 879–889. 11 indexed citations
13.
Wang, Xiangmeng, Po Yee Mak, Hong Mu, et al.. (2020). Combinatorial Inhibition of Focal Adhesion Kinase and BCL-2 Enhances Antileukemia Activity of Venetoclax in Acute Myeloid Leukemia. Molecular Cancer Therapeutics. 19(8). 1636–1648. 13 indexed citations
14.
Carter, Bing Z., Po Yee Mak, Xiangmeng Wang, et al.. (2019). An ARC-Regulated IL1β/Cox-2/PGE2/β-Catenin/ARC Circuit Controls Leukemia–Microenvironment Interactions and Confers Drug Resistance in AML. Cancer Research. 79(6). 1165–1177. 49 indexed citations
15.
Kausar, Samina, et al.. (2019). Prediction of Teacher Enrollment for Pakistani Schools by Using SVM. International Journal of Information and Education Technology. 9(10). 710–714. 3 indexed citations
16.
Carter, Bing Z., Po Yee Mak, Hong Mu, et al.. (2019). Combined inhibition of MDM2 and BCR-ABL1 tyrosine kinase targets chronic myeloid leukemia stem/progenitor cells in a murine model. Haematologica. 105(5). 1274–1284. 22 indexed citations
17.
Carter, Bing Z., Po Yee Mak, Xiangmeng Wang, et al.. (2017). Focal Adhesion Kinase as a Potential Target in AML and MDS. Molecular Cancer Therapeutics. 16(6). 1133–1144. 31 indexed citations
18.
Zhou, Yong, Kai Chen, Pengcheng Shi, et al.. (2017). The pan-Bcl2 Inhibitor AT101 Activates the Intrinsic Apoptotic Pathway and Causes DNA Damage in Acute Myeloid Leukemia Stem-Like Cells. Targeted Oncology. 12(5). 677–687. 14 indexed citations
19.
Wang, Xiangmeng, Po Yee Mak, Hong Mu, et al.. (2016). Inhibition of FAK Exerts Anti-Leukemic Activity and Potentiates ABT-199-Induced Apoptosis in AML. Blood. 128(22). 1574–1574. 2 indexed citations
20.
Li, Yin, Kai Chen, Yong Zhou, et al.. (2015). A New Strategy to Target Acute Myeloid Leukemia Stem and Progenitor Cells Using Chidamide, a Histone Deacetylase Inhibitor. Current Cancer Drug Targets. 15(6). 493–503. 53 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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