Bai Ji

666 total citations
30 papers, 398 citations indexed

About

Bai Ji is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Bai Ji has authored 30 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 9 papers in Pulmonary and Respiratory Medicine and 8 papers in Oncology. Recurrent topics in Bai Ji's work include Gallbladder and Bile Duct Disorders (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Bai Ji is often cited by papers focused on Gallbladder and Bile Duct Disorders (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Bai Ji collaborates with scholars based in China and United States. Bai Ji's co-authors include Yahui Liu, Yingchao Wang, Jiahui Li, Geng Sun, Guangyi Wang, Wei Zhang, Yanqing Li, Weili Shi, Da‐Qing Yang and Yan Jiao and has published in prestigious journals such as Advanced Materials, International Journal of Molecular Sciences and IEEE Access.

In The Last Decade

Bai Ji

27 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bai Ji China	14	97	96	91	83	76	30	398
Florinda Feroce Italy	10	135 1.4×	147 1.5×	45 0.5×	66 0.8×	34 0.4×	19	484
Jinlu Liu China	14	106 1.1×	175 1.8×	108 1.2×	86 1.0×	74 1.0×	32	552
Chenhao Hu China	12	97 1.0×	83 0.9×	76 0.8×	40 0.5×	73 1.0×	59	444
Lujia Wang China	14	89 0.9×	110 1.1×	79 0.9×	44 0.5×	56 0.7×	36	524
Haoqing Shi China	10	61 0.6×	84 0.9×	84 0.9×	59 0.7×	88 1.2×	20	367
Yongtao Zhang China	13	88 0.9×	157 1.6×	45 0.5×	66 0.8×	62 0.8×	54	573
Caiqi Liu China	8	42 0.4×	120 1.3×	60 0.7×	49 0.6×	34 0.4×	19	409
Wenda Xu China	11	84 0.9×	72 0.8×	22 0.2×	52 0.6×	54 0.7×	36	334
Zhixun Li China	11	49 0.5×	164 1.7×	62 0.7×	30 0.4×	29 0.4×	25	424

Countries citing papers authored by Bai Ji

Since Specialization

Citations

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

Fields of papers citing papers by Bai Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bai Ji

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

All Works

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20 of 20 papers shown

Shi, Weili, et al.. (2024). MS-TCNet: An effective Transformer–CNN combined network using multi-scale feature learning for 3D medical image segmentation. Computers in Biology and Medicine. 170. 108057–108057. 22 indexed citations

Liu, Yahui, Jianji Ke, Mingda Han, et al.. (2024). Enhancing Radiofrequency Ablation for Hepatocellular Carcinoma: Nano‐Epidrug Effects on Immune Modulation and Antigenicity Restoration. Advanced Materials. 36(52). e2414365–e2414365. 10 indexed citations

Li, Zhihua, Yanfang Li, Miao Yu, et al.. (2023). A Novel Multi-Scale Channel Attention-Guided Neural Network for Brain Stroke Lesion Segmentation. IEEE Access. 11. 66050–66062. 3 indexed citations

Shi, Weili, et al.. (2023). An Automatic and Robust Visual SLAM Method for Intra-Abdominal Environment Reconstruction. Journal of Advanced Computational Intelligence and Intelligent Informatics. 27(6). 1216–1229. 2 indexed citations

Wang, Chenyang, Zhengang Jiang, Jun Qin, Miao Yu, & Bai Ji. (2023). Research on key techniques of path planning algorithm for liver tumor ablation. 136–136.

Shi, Weili, et al.. (2022). DAFLNet: Dual Asymmetric Feature Learning Network for COVID-19 Disease Diagnosis in X-Rays. Computational and Mathematical Methods in Medicine. 2022. 1–13. 1 indexed citations

Ji, Bai, et al.. (2021). An Impoved U-GAT-IT model for Enhancing the Realism of Simulated Ultrasound Images. 336–340. 1 indexed citations

Wang, Shupeng, et al.. (2020). Neuroendocrine tumors of the gallbladder (Review). Oncology Letters. 19(5). 3381–3388. 16 indexed citations

Li, Jiahui, et al.. (2020). IBDA: Improved Binary Dragonfly Algorithm With Evolutionary Population Dynamics and Adaptive Crossover for Feature Selection. IEEE Access. 8. 108032–108051. 20 indexed citations

10.

Chen, Qingmin, Yingchao Wang, Songyang Liu, et al.. (2019). Application of Hong's pancreaticojejunostomy in laparoscopic pancreaticoduodenectomy on 184 patients. Zhonghua gan-dan waike zazhi. 25(11). 842–845. 2 indexed citations

11.

Wang, Shupeng, et al.. (2019). Neuroendocrine Tumors of the Gallbladder: Clinical Features, Diagnosis and Treatment. 4(1). 2 indexed citations

12.

Jiao, Yan, Yanqing Li, Bai Ji, Hongqiao Cai, & Yahui Liu. (2019). Clinical Value of lncRNA LUCAT1 Expression in Liver Cancer and its Potential Pathways. Journal of Gastrointestinal and Liver Diseases. 28(4). 439–447. 35 indexed citations

13.

Liu, Jianhua, et al.. (2017). Synergistic Antitumor Effect of Sorafenib in Combination with ATM Inhibitor in Hepatocellular Carcinoma Cells. International Journal of Medical Sciences. 14(6). 523–529. 21 indexed citations

14.

Wang, Yingchao, Yahui Liu, Yanping Zhong, & Bai Ji. (2016). Malignant extra-gastrointestinal stromal tumor of the liver: A case report. Oncology Letters. 11(6). 3929–3932. 9 indexed citations

15.

Liu, Kai, Bai Ji, Wei Zhang, et al.. (2014). Comparison of Iodine-125 Seed Implantation and Pancreaticoduodenectomy in the Treatment of Pancreatic Cancer. International Journal of Medical Sciences. 11(9). 893–896. 18 indexed citations

16.

Ji, Bai, et al.. (2013). Anterior Versus Posterolateral Approach for Total Laparoscopic Splenectomy: A Comparative Study. International Journal of Medical Sciences. 10(3). 222–229. 10 indexed citations

17.

Liu, Yahui, Bai Ji, Yingchao Wang, & Guangyi Wang. (2012). Hem-o-lok Clip Found in Common Bile Duct after Laparoscopic Cholecystectomy and Common Bile Duct Exploration: A Clinical Analysis Of 8 Cases. International Journal of Medical Sciences. 9(3). 225–227. 19 indexed citations

18.

Ji, Bai, Yahui Liu, Ping Zhang, Yingchao Wang, & Guangyi Wang. (2012). COX-2 Expression and Tumor Angiogenesis in Thyroid Carcinoma Patients among Northeast Chinese Population-Result of a Single-Center Study. International Journal of Medical Sciences. 9(3). 237–242. 23 indexed citations

19.

Ji, Bai, et al.. (2012). A Two-Step Control of Secondary Splenic Pedicles Using Ligasure during Laparoscopic Splenectomy. International Journal of Medical Sciences. 9(9). 743–747. 8 indexed citations

20.

Liu, Yahui, et al.. (2010). Synergistic Effect of Celecoxib on TRAIL-induced Apoptosis in Hepatocellular Carcinoma Cells. Cancer Investigation. 28(6). 629–634. 15 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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