Junhao Wu

753 total citations · 1 hit paper
52 papers, 468 citations indexed

About

Junhao Wu is a scholar working on Oncology, Cancer Research and Surgery. According to data from OpenAlex, Junhao Wu has authored 52 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 12 papers in Cancer Research and 11 papers in Surgery. Recurrent topics in Junhao Wu's work include Peptidase Inhibition and Analysis (13 papers), Protease and Inhibitor Mechanisms (12 papers) and Cardiac Structural Anomalies and Repair (5 papers). Junhao Wu is often cited by papers focused on Peptidase Inhibition and Analysis (13 papers), Protease and Inhibitor Mechanisms (12 papers) and Cardiac Structural Anomalies and Repair (5 papers). Junhao Wu collaborates with scholars based in China, South Sudan and United Kingdom. Junhao Wu's co-authors include Chunyin Zhang, Zhaocai Wang, Yingwei Wang, Yue Chen, Xiaolei Zhao, Abdul Rauf, Anqi Wang, İlhan Öztürk, Xi Chen and Zhiyuan Yao and has published in prestigious journals such as Environmental Science & Technology, Energy & Environmental Science and Water Resources Research.

In The Last Decade

Junhao Wu

47 papers receiving 457 citations

Hit Papers

The key to sustainability: In-depth investigation of envi... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junhao Wu China 12 163 106 95 84 55 52 468
Qiaoyu Wang China 12 97 0.6× 79 0.7× 69 0.7× 61 0.7× 12 0.2× 48 573
Xiaoying Liang United States 17 76 0.5× 43 0.4× 62 0.7× 100 1.2× 42 0.8× 99 864
Trenton C. Pulsipher United States 7 43 0.3× 53 0.5× 24 0.3× 120 1.4× 99 1.8× 11 611
Hanhan Li China 17 71 0.4× 58 0.5× 65 0.7× 23 0.3× 10 0.2× 47 659
Yue Shen China 16 80 0.5× 43 0.4× 161 1.7× 18 0.2× 15 0.3× 57 720
Qiliang Zhou Japan 11 72 0.4× 81 0.8× 85 0.9× 46 0.5× 28 0.5× 23 605
Youping Li China 13 101 0.6× 145 1.4× 67 0.7× 81 1.0× 10 0.2× 37 635
Liyuan Liu China 17 357 2.2× 105 1.0× 29 0.3× 122 1.5× 4 0.1× 63 810
Ling Zuo China 19 62 0.4× 122 1.2× 20 0.2× 31 0.4× 58 1.1× 34 905
Ruiyang Liu China 13 105 0.6× 57 0.5× 16 0.2× 48 0.6× 19 0.3× 39 630

Countries citing papers authored by Junhao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Junhao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junhao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Junhao Wu. A scholar is included among the top collaborators of Junhao Wu 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 Junhao Wu. Junhao Wu 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.
Xiao, Fang, Jiao Huang, Chunlian Hu, et al.. (2025). Sodium/potassium poly(heptazine imide) with an electron sink effect for hydrogen peroxide photosynthesis. Energy & Environmental Science. 18(12). 6202–6213. 6 indexed citations
2.
Cheng, Heqin, et al.. (2025). Multimodal Sensor Fusion and Interpretable Deep Learning for Shallow Water Hazardous Geomorphology Features Recognition. IEEE Sensors Journal. 25(7). 11545–11562. 2 indexed citations
3.
Chen, Xing, et al.. (2025). Diagnosis of Alzheimer’s disease using transfer learning with multi-modal 3D Inception-v4. Quantitative Imaging in Medicine and Surgery. 15(2). 1455–1467. 3 indexed citations
4.
Chen, Xi, Han Han, Junhao Wu, et al.. (2025). A novel hybrid ensemble approach for wind speed forecasting with dual-stage decomposition strategy using optimized GRU and transformer models. Energy. 329. 136739–136739. 12 indexed citations
5.
Wang, Zhaocai, et al.. (2024). A secondary modal decomposition ensemble deep learning model for groundwater level prediction using multi-data. Environmental Modelling & Software. 175. 105969–105969. 32 indexed citations
6.
Wu, Junhao, Binyin Li, Qi Huang, et al.. (2024). Plasma Glial Fibrillary Acid Protein and Phosphorated Tau 181 Association with Presynaptic Density-Dependent Tau Pathology at 18F-SynVesT-1 Brain PET Imaging. Radiology. 313(2). e233019–e233019. 6 indexed citations
7.
Duan, Xiaodong, et al.. (2024). Efficacy of rTMS in treating functional impairment in post-stroke patients: a systematic review and meta-analysis. Neurological Sciences. 45(8). 3887–3899. 7 indexed citations
9.
Wu, Junhao, et al.. (2024). PET/CT study of dopamine transporter (DAT) binding with the triple reuptake inhibitor toludesvenlafaxine in rats and humans. European Journal of Nuclear Medicine and Molecular Imaging. 51(9). 2638–2648. 1 indexed citations
10.
Wu, Junhao, Xi Chen, Rui Li, et al.. (2024). A novel framework for high resolution air quality index prediction with interpretable artificial intelligence and uncertainties estimation. Journal of Environmental Management. 357. 120785–120785. 8 indexed citations
11.
Liu, Jingbo, Zhaohui Yan, Hongyu Jiang, et al.. (2023). Tailoring a novel ovalbumin emulsion gel for stability improvement and functional properties enhancement: Effect of oil phase structure changes by beeswax. Food Chemistry. 426. 136575–136575. 18 indexed citations
12.
Wang, Zhaocai, et al.. (2023). A water quality prediction model based on signal decomposition and ensemble deep learning techniques. Water Science & Technology. 88(10). 2611–2632. 11 indexed citations
13.
Huang, Delong, et al.. (2023). Performance of [18F]FDG PET/CT versus FAPI PET/CT for lung cancer assessment: a systematic review and meta-analysis. European Radiology. 34(2). 1077–1085. 9 indexed citations
14.
Wu, Junhao, et al.. (2022). Schmorl Node Can Cause Increased 68Ga-FAPI Activity on PET/CT. Clinical Nuclear Medicine. 47(6). 537–538. 2 indexed citations
16.
Wu, Junhao, et al.. (2022). A semidefinite relaxation based global algorithm for two-level graph partition problem. Journal of Industrial and Management Optimization. 19(9). 7036–7053. 2 indexed citations
17.
Wu, Junhao, Yingwei Wang, & Chunyin Zhang. (2021). Increased 68Ga-FAPI Uptake in Neurofibromatosis in a Patient With Pleomorphic Rhabdomyosarcoma. Clinical Nuclear Medicine. 46(12). 1018–1019. 10 indexed citations
18.
Wu, Junhao, Yi Tao, Ya Liu, Yingwei Wang, & Chunyin Zhang. (2021). 18F-FDG PET/CT of Primary Tracheal Adenoid Cystic Carcinoma. Clinical Nuclear Medicine. 46(9). 766–767. 3 indexed citations
19.
Wu, Junhao, et al.. (2021). FAPI Uptake in a Vertebral Body Fracture in a Patient With Lung Cancer. Clinical Nuclear Medicine. 46(6). 520–522. 22 indexed citations
20.
Wu, Junhao, et al.. (2020). 18F-FDG PET/CT Imaging of Testicular Myeloid Sarcoma in a Pediatric Patient. Clinical Nuclear Medicine. 46(1). 84–85. 4 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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