Keming Lu

533 total citations
18 papers, 170 citations indexed

About

Keming Lu is a scholar working on Artificial Intelligence, Molecular Biology and Surgery. According to data from OpenAlex, Keming Lu has authored 18 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Keming Lu's work include Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Biomedical Text Mining and Ontologies (3 papers). Keming Lu is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Biomedical Text Mining and Ontologies (3 papers). Keming Lu collaborates with scholars based in United States, China and Cayman Islands. Keming Lu's co-authors include Yunjie Yang, T.J. Hebert, Sheng Yu, Yingyun Yang, Yucong Lin, Wenxuan Zhou, Muhao Chen, Feng Liu, Yue Li and Jiaming Qian and has published in prestigious journals such as IEEE Transactions on Image Processing, Journal of Medical Genetics and Journal of Biomedical Informatics.

In The Last Decade

Keming Lu

16 papers receiving 158 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keming Lu United States	7	59	37	29	22	20	18	170
Jinli Li China	8	41 0.7×	4 0.1×	17 0.6×	6 0.3×	14 0.7×	27	199
Suraj Rajendran United States	9	107 1.8×	10 0.3×	17 0.6×	3 0.1×	49 2.5×	18	235
Z. John Daye United States	11	24 0.4×	54 1.5×	12 0.4×	3 0.1×	42 2.1×	16	418
Hui Ding China	10	7 0.1×	34 0.9×	41 1.4×	46 2.1×	65 3.3×	32	286
Jae Won Cho South Korea	9	29 0.5×	128 3.5×	59 2.0×	3 0.1×	79 4.0×	12	308
Mohammad Asadur Rahman Bangladesh	5	119 2.0×	9 0.2×	4 0.1×	7 0.3×	28 1.4×	11	338
Vineet Agarwal United States	8	36 0.6×	37 1.0×		49 2.2×	7 0.3×	21	239
Hideki Ando Japan	11	13 0.2×	26 0.7×	56 1.9×	159 7.2×	36 1.8×	51	435
Suguru Yasutomi Japan	8	83 1.4×	7 0.2×	5 0.2×	4 0.2×	6 0.3×	18	347

Countries citing papers authored by Keming Lu

Since Specialization

Citations

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

Fields of papers citing papers by Keming Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keming Lu

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Zheng, Chujie, et al.. (2025). ProcessBench: Identifying Process Errors in Mathematical Reasoning. 1009–1024.

Yuan, Hongyi, et al.. (2024). How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition. 177–198. 13 indexed citations

Lu, Keming, et al.. (2024). Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment. 7828–7840. 2 indexed citations

Lu, Keming, et al.. (2024). Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models. 1964–1974. 4 indexed citations

Yuan, Hongyi, et al.. (2024). Speculative Contrastive Decoding. 56–64.

Lu, Keming, et al.. (2023). Multi-hop Evidence Retrieval for Cross-document Relation Extraction. 10336–10351. 3 indexed citations

Lu, Keming, et al.. (2023). Forecasting Daily Stock Volatility: A Comparison between GARCH and Recurrent Neuro-networks. BCP Business & Management. 38. 427–436. 1 indexed citations

Yuan, Hongyi, et al.. (2023). Exploring Partial Knowledge Base Inference in Biomedical Entity Linking. 37–49. 1 indexed citations

Lu, Keming, Si Yu, Yucong Lin, et al.. (2023). Building a trustworthy AI differential diagnosis application for Crohn’s disease and intestinal tuberculosis. BMC Medical Informatics and Decision Making. 23(1). 160–160. 11 indexed citations

10.

Lu, Keming, Peter Potash, Xihui Lin, et al.. (2023). Prompt Discriminative Language Models for Domain Adaptation. 247–258. 4 indexed citations

11.

Lu, Keming, Xiaoman Pan, Kaiqiang Song, et al.. (2023). PIVOINE: Instruction Tuning for Open-world Entity Profiling. 15108–15127. 3 indexed citations

12.

Peng, Wenjie, et al.. (2023). The Role of In-Group and Out-Group Facial Feedback in Implicit Rule Learning. Behavioral Sciences. 13(12). 963–963. 1 indexed citations

13.

Lu, Keming, et al.. (2022). Summarization as Indirect Supervision for Relation Extraction. 6575–6594. 21 indexed citations

14.

Lin, Yucong, Yang Li, Keming Lu, et al.. (2020). Long-distance disorder-disorder relation extraction with bootstrapped noisy data. Journal of Biomedical Informatics. 109. 103529–103529. 1 indexed citations

15.

Lu, Keming, Yingyun Yang, Ji Li, et al.. (2020). Can natural language processing help differentiate inflammatory intestinal diseases in China? Models applying random forest and convolutional neural network approaches. BMC Medical Informatics and Decision Making. 20(1). 248–248. 37 indexed citations

16.

Lu, Keming, et al.. (2019). Image reconstruction for electrical impedance tomography based on spatial invariant feature maps and convolutional neural network. Edinburgh Research Explorer. 1–6. 22 indexed citations

17.

Chen, Huixing, Yong Zhu, Zijue Zhu, et al.. (2018). Detection of heterozygous mutation in hook microtubule-tethering protein 1 in three patients with decapitated and decaudated spermatozoa syndrome. Journal of Medical Genetics. 55(3). 150–157. 33 indexed citations

18.

Hebert, T.J. & Keming Lu. (1995). Expectation-maximization algorithms, null spaces, and MAP image restoration. IEEE Transactions on Image Processing. 4(8). 1084–1095. 13 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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