Weiqi Xia

503 total citations
10 papers, 385 citations indexed

About

Weiqi Xia is a scholar working on Molecular Biology, Economics and Econometrics and Surgery. According to data from OpenAlex, Weiqi Xia has authored 10 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Economics and Econometrics and 1 paper in Surgery. Recurrent topics in Weiqi Xia's work include Machine Learning in Bioinformatics (3 papers), RNA and protein synthesis mechanisms (3 papers) and Energy, Environment, Economic Growth (2 papers). Weiqi Xia is often cited by papers focused on Machine Learning in Bioinformatics (3 papers), RNA and protein synthesis mechanisms (3 papers) and Energy, Environment, Economic Growth (2 papers). Weiqi Xia collaborates with scholars based in China and India. Weiqi Xia's co-authors include Feng Zhu, Honglin Li, Fengcheng Li, Yunxia Wang, Ying Zhou, Yunqing Qiu, Qingxia Yang, Ying Zhang, Sufeng Li and Zhaorong Li and has published in prestigious journals such as Nucleic Acids Research, Genome biology and Sustainability.

In The Last Decade

Weiqi Xia

9 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weiqi Xia China	7	242	64	53	39	27	10	385
Ammar Ammar Netherlands	7	357 1.5×	60 0.9×	92 1.7×	12 0.3×	16 0.6×	19	621
Philip Ma United States	8	179 0.7×	52 0.8×	31 0.6×	84 2.2×	33 1.2×	9	392
Jyothi Subramanian India	9	299 1.2×	168 2.6×	93 1.8×	17 0.4×	13 0.5×	9	602
Enrico Capobianco United States	13	306 1.3×	39 0.6×	77 1.5×	8 0.2×	19 0.7×	63	570
Jochen Weile Canada	12	488 2.0×	48 0.8×	83 1.6×	6 0.2×	8 0.3×	27	655
Jim Bosley United States	8	157 0.6×	74 1.2×	16 0.3×	28 0.7×	7 0.3×	18	345
Rebecca Ceder Sweden	15	267 1.1×	81 1.3×	76 1.4×	7 0.2×	21 0.8×	23	480
Paloma Maı́n Spain	11	192 0.8×	19 0.3×	58 1.1×	8 0.2×	24 0.9×	24	454
Hyunjin Shin United States	10	124 0.5×	21 0.3×	17 0.3×	6 0.2×	61 2.3×	18	245
Reiji Teramoto Japan	10	327 1.4×	128 2.0×	39 0.7×	4 0.1×	23 0.9×	21	470

Countries citing papers authored by Weiqi Xia

Since Specialization

Citations

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

Fields of papers citing papers by Weiqi Xia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiqi Xia

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

All Works

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10 of 10 papers shown

Liu, Wentong, et al.. (2025). Development and validation of interpretable machine learning models for predicting AKI risk in patients treated with PD-1/PD-L1: a retrospective study. BMC Medical Informatics and Decision Making. 25(1). 295–295.

Zheng, Lingyan, Mingkun Lu, Ziqi Pan, et al.. (2024). AnnoPRO: a strategy for protein function annotation based on multi-scale protein representation and a hybrid deep learning of dual-path encoding. Genome biology. 25(1). 41–41. 38 indexed citations

Wang, Yunxia, Zhen Chen, Ziqi Pan, et al.. (2023). RNAincoder: a deep learning-based encoder for RNA and RNA-associated interaction. Nucleic Acids Research. 51(W1). W509–W519. 31 indexed citations

Wang, Yunxia, Ziqi Pan, Minjie Mou, et al.. (2023). A task-specific encoding algorithm for RNAs and RNA-associated interactions based on convolutional autoencoder. Nucleic Acids Research. 51(21). e110–e110. 38 indexed citations

Xia, Weiqi, Lingyan Zheng, Fengcheng Li, et al.. (2022). PFmulDL: a novel strategy enabling multi-class and multi-label protein function annotation by integrating diverse deep learning methods. Computers in Biology and Medicine. 145. 105465–105465. 56 indexed citations

Zhang, Minghui & Weiqi Xia. (2022). Research on the Law of China’s Rural Land Institutional Changes: An Analytical Framework of Economic Efficiency and Distributive Equity. Land. 11(12). 2229–2229. 1 indexed citations

Xia, Weiqi, et al.. (2022). Dynamic Coupling Trajectory and Spatial-Temporal Characteristics of High-Quality Economic Development and the Digital Economy. Sustainability. 14(8). 4543–4543. 36 indexed citations

Li, Sufeng, et al.. (2022). Research on Evolutionary Game Strategy Selection and Simulation Research of Carbon Emission Reduction of Government and Enterprises under the “Dual Carbon” Goal. Sustainability. 14(19). 12647–12647. 21 indexed citations

Yang, Qingxia, Yunxia Wang, Ying Zhang, et al.. (2020). NOREVA: enhanced normalization and evaluation of time-course and multi-class metabolomic data. Nucleic Acids Research. 48(W1). W436–W448. 162 indexed citations

10.

Xia, Weiqi & Chunqi Hu. (2019). Progress in Research on Tumor Metastasis Inhibitors. Current Medicinal Chemistry. 27(34). 5758–5772. 2 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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