Hua-Wei Huang

646 total citations
30 papers, 410 citations indexed

About

Hua-Wei Huang is a scholar working on Epidemiology, Critical Care and Intensive Care Medicine and Anesthesiology and Pain Medicine. According to data from OpenAlex, Hua-Wei Huang has authored 30 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 7 papers in Critical Care and Intensive Care Medicine and 7 papers in Anesthesiology and Pain Medicine. Recurrent topics in Hua-Wei Huang's work include Intensive Care Unit Cognitive Disorders (7 papers), Meningioma and schwannoma management (6 papers) and Anesthesia and Sedative Agents (5 papers). Hua-Wei Huang is often cited by papers focused on Intensive Care Unit Cognitive Disorders (7 papers), Meningioma and schwannoma management (6 papers) and Anesthesia and Sedative Agents (5 papers). Hua-Wei Huang collaborates with scholars based in China, United States and Canada. Hua-Wei Huang's co-authors include Xiu-Mei Sun, Guobin Zhang, Guangqiang Chen, Li Jiang, Ling Shen, Xiuming Xi, Zhonghua Shi, Guobin Zhang, Jianxin Zhou and Lü Chen and has published in prestigious journals such as PLoS ONE, Journal of neurosurgery and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Hua-Wei Huang

25 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hua-Wei Huang China 11 200 126 125 90 55 30 410
Rebecca von Haken Germany 13 392 2.0× 46 0.4× 275 2.2× 228 2.5× 14 0.3× 32 525
Alexandre N. Cavalcante United States 9 162 0.8× 47 0.4× 158 1.3× 100 1.1× 11 0.2× 12 425
Ayşe Heves Karagöz Türkiye 13 64 0.3× 62 0.5× 169 1.4× 52 0.6× 24 0.4× 33 427
Chew Yin Wang Malaysia 11 44 0.2× 179 1.4× 145 1.2× 28 0.3× 29 0.5× 27 430
Daniel Lorch United States 8 177 0.9× 100 0.8× 310 2.5× 91 1.0× 13 0.2× 16 559
Daniel Hadzidiakos Germany 9 143 0.7× 27 0.2× 101 0.8× 120 1.3× 4 0.1× 19 317
Debra D. Pulley United States 8 85 0.4× 201 1.6× 81 0.6× 15 0.2× 52 0.9× 12 587
Anupa Deogaonkar United States 12 148 0.7× 49 0.4× 137 1.1× 74 0.8× 1 0.0× 18 425
Alan Davidson United Kingdom 6 75 0.4× 59 0.5× 27 0.2× 13 0.1× 3 0.1× 6 364
Philip L. Kalarickal United States 7 275 1.4× 34 0.3× 333 2.7× 258 2.9× 4 0.1× 12 470

Countries citing papers authored by Hua-Wei Huang

Since Specialization
Citations

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

Fields of papers citing papers by Hua-Wei Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hua-Wei Huang. 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 Hua-Wei Huang. The network helps show where Hua-Wei Huang may publish in the future.

Co-authorship network of co-authors of Hua-Wei Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Hua-Wei Huang. A scholar is included among the top collaborators of Hua-Wei Huang 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 Hua-Wei Huang. Hua-Wei Huang 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.
2.
Cai, Xiaohong, Yang Han, Hua-Wei Huang, et al.. (2025). Development and validation of a deep learning algorithm for discriminating glioma recurrence from radiation necrosis on MRI. Frontiers in Oncology. 15. 1573700–1573700.
3.
Zeng, Qian, Hua-Wei Huang, Jiaqi Lu, et al.. (2025). Comparative outcomes of polymyxins in neurocritical care patients with carbapenem-resistant Gram-negative bacterial pneumonia: a retrospective cohort study. Journal of Antimicrobial Chemotherapy. 80(10). 2759–2772.
4.
Huang, Hua-Wei, et al.. (2024). Account Migration across Blockchain Shards using Fine-tuned Lock Mechanism. 271–280. 6 indexed citations
5.
Huang, Hua-Wei, et al.. (2024). Broker2Earn: Towards Maximizing Broker Revenue and System Liquidity for Sharded Blockchains. 251–260. 3 indexed citations
6.
Li, Haoyi, Yonggang Wang, Dali Sui, et al.. (2023). Decision-making tree for surgical treatment in meningioma: a geriatric cohort study. Neurosurgical Review. 46(1). 196–196. 2 indexed citations
7.
Zhang, Guobin, Hua-Wei Huang, Yonggang Wang, et al.. (2022). Probing individual-level structural atrophy in frontal glioma patients. Neurosurgical Review. 45(4). 2845–2855. 6 indexed citations
8.
Zhang, Guobin, Hua-Wei Huang, Yonggang Wang, et al.. (2022). Pure and non-pure meningioangiomatosis of 36 Chinese patients: an analysis of clinical presentation, diagnosis, histopathology and prognosis. Neurosurgical Review. 45(5). 3405–3415. 1 indexed citations
9.
Li, Haoyi, Hua-Wei Huang, Yonggang Wang, et al.. (2021). Postoperative Long-Term Independence Among the Elderly With Meningiomas: Function Evolution, Determinant Identification, and Prediction Model Development. Frontiers in Oncology. 11. 639259–639259. 6 indexed citations
10.
11.
Huang, Hua-Wei, Guobin Zhang, Ming Xu, et al.. (2020). The impact of tracheostomy timing on clinical outcomes and adverse events in intubated patients with infratentorial lesions: early versus late tracheostomy. Neurosurgical Review. 44(3). 1513–1522. 7 indexed citations
12.
Zhang, Guobin, et al.. (2020). Differentially Expressed MicroRNAs in Radioresistant and Radiosensitive Atypical Meningioma: A Clinical Study in Chinese Patients. Frontiers in Oncology. 10. 501–501. 16 indexed citations
13.
Zhang, Guobin, et al.. (2020). Intracranial chordoid glioma: A clinical, radiological and pathological study of 14 cases. Journal of Clinical Neuroscience. 80. 267–273. 6 indexed citations
14.
Huang, Hua-Wei, Yumei Wang, Xuan He, et al.. (2020). Incidence and risk factors of postoperative delirium in patients admitted to the ICU after elective intracranial surgery. European Journal of Anaesthesiology. 37(1). 14–24. 42 indexed citations
15.
Zhang, Guobin, et al.. (2019). Intracranial synovial sarcoma: A clinical, radiological and pathological study of 16 cases. European Journal of Surgical Oncology. 45(12). 2379–2385. 16 indexed citations
16.
Sun, Xiu-Mei, Guangqiang Chen, Hua-Wei Huang, et al.. (2018). Use of esophageal balloon pressure-volume curve analysis to determine esophageal wall elastance and calibrate raw esophageal pressure: a bench experiment and clinical study. BMC Anesthesiology. 18(1). 21–21. 15 indexed citations
17.
Sun, Xiu-Mei, Guangqiang Chen, Kai Chen, et al.. (2018). Stress Index Can Be Accurately and Reliably Assessed by Visually Inspecting Ventilator Waveforms. Respiratory Care. 63(9). 1094–1101. 13 indexed citations
18.
Huang, Hua-Wei, Li Jiang, Ling Shen, et al.. (2014). Impact of oral melatonin on critically ill adult patients with ICU sleep deprivation: study protocol for a randomized controlled trial. Trials. 15(1). 327–327. 15 indexed citations
19.
Huang, Hua-Wei, et al.. (2013). Continuous versus intermittent infusion of cefepime in neurosurgical patients with post-operative intracranial infections. International Journal of Antimicrobial Agents. 43(1). 68–72. 18 indexed citations
20.

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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