--- title: "Nature Machine Intelligence — journal, papers and authors" description: "Nature Machine Intelligence: 3 works in the Elamur Research library (2018–2023), 11,992 citations; its topics, authors and institutions." canonical: "https://research.elamur.ai/free/en/venues/nature-machine-intelligence/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/nature-machine-intelligence/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / Nature Machine Intelligence # Nature Machine Intelligence Journal Published by [Nature Portfolio](https://md.research.elamur.ai/free/en/publishers/nature-portfolio/) - [Website](https://www.nature.com/natmachintell/) - [OpenAlex](https://openalex.org/S2912241403) - [Wikidata](https://www.wikidata.org/wiki/Q44062926) - [ISSN 2522-5839](https://portal.issn.org/resource/ISSN/2522-5839) [**3** works in our library](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/#works) · [**11,992** citations of these works](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/#works) · [**382** citations in our library](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/#works) · [**2018–2023** years of the works here](#years) ## Works by year Works in our library by year 3 dated works from 2018 to 2023; the busiest year is 2023 with 2. **The numbers** | Year | Works | | --- | --- | | 2023 | 2 | | 2018 | 1 | ## Top topics Topics of its works in our library, with the number of works on each. [Language models & pretraining (2)](https://md.research.elamur.ai/free/en/topics/language-models/) ## Fields [Computer Science (3)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (2)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Social Sciences (2)](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Engineering (1)](https://md.research.elamur.ai/free/en/shelves/engineering/) ## Top authors Authors with a page who published here most often: their works here, and the citations of those works. [🧑‍🔬**Cynthia Rudin**1 work here · 10,427 citations](https://md.research.elamur.ai/free/en/authors/cynthia-rudin/) · [🧑‍🔬**Chi-Min Chan**1 work here · 1,324 citations](https://md.research.elamur.ai/free/en/authors/chi-min-chan/) · [🧑‍🔬**Ning Ding**1 work here · 1,324 citations](https://md.research.elamur.ai/free/en/authors/ning-ding/) · [🧑‍🔬**Shengding Hu**1 work here · 1,324 citations](https://md.research.elamur.ai/free/en/authors/shengding-hu/) · [🧑‍🔬**Weilin Zhao**1 work here · 1,324 citations](https://md.research.elamur.ai/free/en/authors/weilin-zhao/) · [🧑‍🔬**Weize Chen**1 work here · 1,324 citations](https://md.research.elamur.ai/free/en/authors/weize-chen/) · [🧑‍🔬**Yujia Qin**1 work here · 1,324 citations](https://md.research.elamur.ai/free/en/authors/yujia-qin/) · [🧑‍🔬**Yulin Chen**1 work here · 1,324 citations](https://md.research.elamur.ai/free/en/authors/yulin-chen/) · [🧑‍🔬**Yusheng Su**1 work here · 1,324 citations](https://md.research.elamur.ai/free/en/authors/yusheng-su/) · [🧑‍🔬**David Corney**1 work here · 241 citations](https://md.research.elamur.ai/free/en/authors/david-corney/) · [🧑‍🔬**Eduard Hovy**1 work here · 241 citations](https://md.research.elamur.ai/free/en/authors/eduard-hovy/) · [🧑‍🔬**Heng Ji**1 work here · 241 citations](https://md.research.elamur.ai/free/en/authors/heng-ji/) ## Top institutions Institutions on the bylines of its works here, by the number of works. [🎓**University of Southern California** Los Angeles · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-southern-california/) · [🎓**University of Copenhagen** Copenhagen · Denmark 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-copenhagen/) · [🎓**University of Wisconsin–Madison** Madison · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-wisconsin-madison/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**Duke University** Durham · United States 1 work here](https://md.research.elamur.ai/free/en/universities/duke-university/) · [🎓**University of Oxford** Oxford · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-oxford/) · [🔬**Max Planck Institute for Security and Privacy** Bochum · Germany 1 work here](https://md.research.elamur.ai/free/en/labs/max-planck-institute-for-security-and-privacy/) · [🔬**Beijing Academy of Artificial Intelligence** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/) · [🎓**Mohamed bin Zayed University of Artificial Intelligence** Abu Dhabi · United Arab Emirates 1 work here](https://md.research.elamur.ai/free/en/universities/mohamed-bin-zayed-university-of-artificial-intelligence/) · [🏢**Meta** Menlo Park · United States 1 work here](https://md.research.elamur.ai/free/en/companies/meta/) · [🎓**Indiana University Bloomington** Bloomington · United States 1 work here](https://md.research.elamur.ai/free/en/universities/indiana-university-bloomington/) · [🎓**Tsinghua Shenzhen International Graduate School** Shenzhen · China 1 work here](https://md.research.elamur.ai/free/en/universities/tsinghua-shenzhen-international-graduate-school/) ## Works in our library (3) The most cited first (OpenAlex citations plus our library's). 1. [**Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead**Cynthia Rudin*2018 · 10,427 citations*](https://md.research.elamur.ai/free/en/papers/rudin-2018-stop-explaining-black-box/) 2. [**Parameter-efficient fine-tuning of large-scale pre-trained language models**Ning Ding, Yujia Qin, Guang You Yang, et al.*2023 · 1,324 citations*](https://md.research.elamur.ai/free/en/papers/ding-2023-parameter-efficient-fine-tuning-large/) 3. [**Factuality Challenges in the Era of Large Language Models**Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.*2023 · 241 citations*](https://md.research.elamur.ai/free/en/papers/augenstein-2023-factuality-challenges-era-large-language/) Venues, publishers and identifiers from OpenAlex (2026-10-14) and the ACL Anthology; yearly proceedings are counted as one series.